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{"type": "system", "subtype": "hook_response", "hook_id": "74811987-42d9-44fc-b686-192ec07956a0", "hook_name": "SessionStart:startup", "hook_event": "SessionStart", "output": "{\n  \"hookSpecificOutput\": {\n    \"hookEventName\": \"SessionStart\",\n    \"additionalContext\": \"<EXTREMELY_IMPORTANT>\\nYou have superpowers.\\n\\n**Below is the full content of your 'superpowers:using-superpowers' skill - your introduction to using skills. For all other skills, use the 'Skill' tool:**\\n\\n---\\nname: using-superpowers\\ndescription: Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions\\n---\\n\\n<SUBAGENT-STOP>\\nIf you were dispatched as a subagent to execute a specific task, skip this skill.\\n</SUBAGENT-STOP>\\n\\n<EXTREMELY-IMPORTANT>\\nIf you think there is even a 1% chance a skill might apply to what you are doing, you ABSOLUTELY MUST invoke the skill.\\n\\nIF A SKILL APPLIES TO YOUR TASK, YOU DO NOT HAVE A CHOICE. YOU MUST USE IT.\\n\\nThis is not negotiable. This is not optional. You cannot rationalize your way out of this.\\n</EXTREMELY-IMPORTANT>\\n\\n## Instruction Priority\\n\\nSuperpowers skills override default system prompt behavior, but **user instructions always take precedence**:\\n\\n1. **User's explicit instructions** (CLAUDE.md, GEMINI.md, AGENTS.md, direct requests) \u2014 highest priority\\n2. **Superpowers skills** \u2014 override default system behavior where they conflict\\n3. **Default system prompt** \u2014 lowest priority\\n\\nIf CLAUDE.md, GEMINI.md, or AGENTS.md says \\\"don't use TDD\\\" and a skill says \\\"always use TDD,\\\" follow the user's instructions. The user is in control.\\n\\n## How to Access Skills\\n\\n**In Claude Code:** Use the `Skill` tool. When you invoke a skill, its content is loaded and presented to you\u2014follow it directly. Never use the Read tool on skill files.\\n\\n**In Copilot CLI:** Use the `skill` tool. Skills are auto-discovered from installed plugins. The `skill` tool works the same as Claude Code's `Skill` tool.\\n\\n**In Gemini CLI:** Skills activate via the `activate_skill` tool. Gemini loads skill metadata at session start and activates the full content on demand.\\n\\n**In other environments:** Check your platform's documentation for how skills are loaded.\\n\\n## Platform Adaptation\\n\\nSkills use Claude Code tool names. Non-CC platforms: see `references/copilot-tools.md` (Copilot CLI), `references/codex-tools.md` (Codex) for tool equivalents. Gemini CLI users get the tool mapping loaded automatically via GEMINI.md.\\n\\n# Using Skills\\n\\n## The Rule\\n\\n**Invoke relevant or requested skills BEFORE any response or action.** Even a 1% chance a skill might apply means that you should invoke the skill to check. If an invoked skill turns out to be wrong for the situation, you don't need to use it.\\n\\n```dot\\ndigraph skill_flow {\\n    \\\"User message received\\\" [shape=doublecircle];\\n    \\\"About to EnterPlanMode?\\\" [shape=doublecircle];\\n    \\\"Already brainstormed?\\\" [shape=diamond];\\n    \\\"Invoke brainstorming skill\\\" [shape=box];\\n    \\\"Might any skill apply?\\\" [shape=diamond];\\n    \\\"Invoke Skill tool\\\" [shape=box];\\n    \\\"Announce: 'Using [skill] to [purpose]'\\\" [shape=box];\\n    \\\"Has checklist?\\\" [shape=diamond];\\n    \\\"Create TodoWrite todo per item\\\" [shape=box];\\n    \\\"Follow skill exactly\\\" [shape=box];\\n    \\\"Respond (including clarifications)\\\" [shape=doublecircle];\\n\\n    \\\"About to EnterPlanMode?\\\" -> \\\"Already brainstormed?\\\";\\n    \\\"Already brainstormed?\\\" -> \\\"Invoke brainstorming skill\\\" [label=\\\"no\\\"];\\n    \\\"Already brainstormed?\\\" -> \\\"Might any skill apply?\\\" [label=\\\"yes\\\"];\\n    \\\"Invoke brainstorming skill\\\" -> \\\"Might any skill apply?\\\";\\n\\n    \\\"User message received\\\" -> \\\"Might any skill apply?\\\";\\n    \\\"Might any skill apply?\\\" -> \\\"Invoke Skill tool\\\" [label=\\\"yes, even 1%\\\"];\\n    \\\"Might any skill apply?\\\" -> \\\"Respond (including clarifications)\\\" [label=\\\"definitely not\\\"];\\n    \\\"Invoke Skill tool\\\" -> \\\"Announce: 'Using [skill] to [purpose]'\\\";\\n    \\\"Announce: 'Using [skill] to [purpose]'\\\" -> \\\"Has checklist?\\\";\\n    \\\"Has checklist?\\\" -> \\\"Create TodoWrite todo per item\\\" [label=\\\"yes\\\"];\\n    \\\"Has checklist?\\\" -> \\\"Follow skill exactly\\\" [label=\\\"no\\\"];\\n    \\\"Create TodoWrite todo per item\\\" -> \\\"Follow skill exactly\\\";\\n}\\n```\\n\\n## Red Flags\\n\\nThese thoughts mean STOP\u2014you're rationalizing:\\n\\n| Thought | Reality |\\n|---------|---------|\\n| \\\"This is just a simple question\\\" | Questions are tasks. Check for skills. |\\n| \\\"I need more context first\\\" | Skill check comes BEFORE clarifying questions. |\\n| \\\"Let me explore the codebase first\\\" | Skills tell you HOW to explore. Check first. |\\n| \\\"I can check git/files quickly\\\" | Files lack conversation context. Check for skills. |\\n| \\\"Let me gather information first\\\" | Skills tell you HOW to gather information. |\\n| \\\"This doesn't need a formal skill\\\" | If a skill exists, use it. |\\n| \\\"I remember this skill\\\" | Skills evolve. Read current version. |\\n| \\\"This doesn't count as a task\\\" | Action = task. Check for skills. |\\n| \\\"The skill is overkill\\\" | Simple things become complex. Use it. |\\n| \\\"I'll just do this one thing first\\\" | Check BEFORE doing anything. |\\n| \\\"This feels productive\\\" | Undisciplined action wastes time. Skills prevent this. |\\n| \\\"I know what that means\\\" | Knowing the concept \u2260 using the skill. Invoke it. |\\n\\n## Skill Priority\\n\\nWhen multiple skills could apply, use this order:\\n\\n1. **Process skills first** (brainstorming, debugging) - these determine HOW to approach the task\\n2. **Implementation skills second** (frontend-design, mcp-builder) - these guide execution\\n\\n\\\"Let's build X\\\" \u2192 brainstorming first, then implementation skills.\\n\\\"Fix this bug\\\" \u2192 debugging first, then domain-specific skills.\\n\\n## Skill Types\\n\\n**Rigid** (TDD, debugging): Follow exactly. Don't adapt away discipline.\\n\\n**Flexible** (patterns): Adapt principles to context.\\n\\nThe skill itself tells you which.\\n\\n## User Instructions\\n\\nInstructions say WHAT, not HOW. \\\"Add X\\\" or \\\"Fix Y\\\" doesn't mean skip workflows.\\n\\n\\n</EXTREMELY_IMPORTANT>\"\n  }\n}\n", "stdout": "{\n  \"hookSpecificOutput\": {\n    \"hookEventName\": \"SessionStart\",\n    \"additionalContext\": \"<EXTREMELY_IMPORTANT>\\nYou have superpowers.\\n\\n**Below is the full content of your 'superpowers:using-superpowers' skill - your introduction to using skills. For all other skills, use the 'Skill' tool:**\\n\\n---\\nname: using-superpowers\\ndescription: Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions\\n---\\n\\n<SUBAGENT-STOP>\\nIf you were dispatched as a subagent to execute a specific task, skip this skill.\\n</SUBAGENT-STOP>\\n\\n<EXTREMELY-IMPORTANT>\\nIf you think there is even a 1% chance a skill might apply to what you are doing, you ABSOLUTELY MUST invoke the skill.\\n\\nIF A SKILL APPLIES TO YOUR TASK, YOU DO NOT HAVE A CHOICE. YOU MUST USE IT.\\n\\nThis is not negotiable. This is not optional. You cannot rationalize your way out of this.\\n</EXTREMELY-IMPORTANT>\\n\\n## Instruction Priority\\n\\nSuperpowers skills override default system prompt behavior, but **user instructions always take precedence**:\\n\\n1. **User's explicit instructions** (CLAUDE.md, GEMINI.md, AGENTS.md, direct requests) \u2014 highest priority\\n2. **Superpowers skills** \u2014 override default system behavior where they conflict\\n3. **Default system prompt** \u2014 lowest priority\\n\\nIf CLAUDE.md, GEMINI.md, or AGENTS.md says \\\"don't use TDD\\\" and a skill says \\\"always use TDD,\\\" follow the user's instructions. The user is in control.\\n\\n## How to Access Skills\\n\\n**In Claude Code:** Use the `Skill` tool. When you invoke a skill, its content is loaded and presented to you\u2014follow it directly. Never use the Read tool on skill files.\\n\\n**In Copilot CLI:** Use the `skill` tool. Skills are auto-discovered from installed plugins. The `skill` tool works the same as Claude Code's `Skill` tool.\\n\\n**In Gemini CLI:** Skills activate via the `activate_skill` tool. Gemini loads skill metadata at session start and activates the full content on demand.\\n\\n**In other environments:** Check your platform's documentation for how skills are loaded.\\n\\n## Platform Adaptation\\n\\nSkills use Claude Code tool names. Non-CC platforms: see `references/copilot-tools.md` (Copilot CLI), `references/codex-tools.md` (Codex) for tool equivalents. Gemini CLI users get the tool mapping loaded automatically via GEMINI.md.\\n\\n# Using Skills\\n\\n## The Rule\\n\\n**Invoke relevant or requested skills BEFORE any response or action.** Even a 1% chance a skill might apply means that you should invoke the skill to check. If an invoked skill turns out to be wrong for the situation, you don't need to use it.\\n\\n```dot\\ndigraph skill_flow {\\n    \\\"User message received\\\" [shape=doublecircle];\\n    \\\"About to EnterPlanMode?\\\" [shape=doublecircle];\\n    \\\"Already brainstormed?\\\" [shape=diamond];\\n    \\\"Invoke brainstorming skill\\\" [shape=box];\\n    \\\"Might any skill apply?\\\" [shape=diamond];\\n    \\\"Invoke Skill tool\\\" [shape=box];\\n    \\\"Announce: 'Using [skill] to [purpose]'\\\" [shape=box];\\n    \\\"Has checklist?\\\" [shape=diamond];\\n    \\\"Create TodoWrite todo per item\\\" [shape=box];\\n    \\\"Follow skill exactly\\\" [shape=box];\\n    \\\"Respond (including clarifications)\\\" [shape=doublecircle];\\n\\n    \\\"About to EnterPlanMode?\\\" -> \\\"Already brainstormed?\\\";\\n    \\\"Already brainstormed?\\\" -> \\\"Invoke brainstorming skill\\\" [label=\\\"no\\\"];\\n    \\\"Already brainstormed?\\\" -> \\\"Might any skill apply?\\\" [label=\\\"yes\\\"];\\n    \\\"Invoke brainstorming skill\\\" -> \\\"Might any skill apply?\\\";\\n\\n    \\\"User message received\\\" -> \\\"Might any skill apply?\\\";\\n    \\\"Might any skill apply?\\\" -> \\\"Invoke Skill tool\\\" [label=\\\"yes, even 1%\\\"];\\n    \\\"Might any skill apply?\\\" -> \\\"Respond (including clarifications)\\\" [label=\\\"definitely not\\\"];\\n    \\\"Invoke Skill tool\\\" -> \\\"Announce: 'Using [skill] to [purpose]'\\\";\\n    \\\"Announce: 'Using [skill] to [purpose]'\\\" -> \\\"Has checklist?\\\";\\n    \\\"Has checklist?\\\" -> \\\"Create TodoWrite todo per item\\\" [label=\\\"yes\\\"];\\n    \\\"Has checklist?\\\" -> \\\"Follow skill exactly\\\" [label=\\\"no\\\"];\\n    \\\"Create TodoWrite todo per item\\\" -> \\\"Follow skill exactly\\\";\\n}\\n```\\n\\n## Red Flags\\n\\nThese thoughts mean STOP\u2014you're rationalizing:\\n\\n| Thought | Reality |\\n|---------|---------|\\n| \\\"This is just a simple question\\\" | Questions are tasks. Check for skills. |\\n| \\\"I need more context first\\\" | Skill check comes BEFORE clarifying questions. |\\n| \\\"Let me explore the codebase first\\\" | Skills tell you HOW to explore. Check first. |\\n| \\\"I can check git/files quickly\\\" | Files lack conversation context. Check for skills. |\\n| \\\"Let me gather information first\\\" | Skills tell you HOW to gather information. |\\n| \\\"This doesn't need a formal skill\\\" | If a skill exists, use it. |\\n| \\\"I remember this skill\\\" | Skills evolve. Read current version. |\\n| \\\"This doesn't count as a task\\\" | Action = task. Check for skills. |\\n| \\\"The skill is overkill\\\" | Simple things become complex. Use it. |\\n| \\\"I'll just do this one thing first\\\" | Check BEFORE doing anything. |\\n| \\\"This feels productive\\\" | Undisciplined action wastes time. Skills prevent this. |\\n| \\\"I know what that means\\\" | Knowing the concept \u2260 using the skill. Invoke it. |\\n\\n## Skill Priority\\n\\nWhen multiple skills could apply, use this order:\\n\\n1. **Process skills first** (brainstorming, debugging) - these determine HOW to approach the task\\n2. **Implementation skills second** (frontend-design, mcp-builder) - these guide execution\\n\\n\\\"Let's build X\\\" \u2192 brainstorming first, then implementation skills.\\n\\\"Fix this bug\\\" \u2192 debugging first, then domain-specific skills.\\n\\n## Skill Types\\n\\n**Rigid** (TDD, debugging): Follow exactly. Don't adapt away discipline.\\n\\n**Flexible** (patterns): Adapt principles to context.\\n\\nThe skill itself tells you which.\\n\\n## User Instructions\\n\\nInstructions say WHAT, not HOW. \\\"Add X\\\" or \\\"Fix Y\\\" doesn't mean skip workflows.\\n\\n\\n</EXTREMELY_IMPORTANT>\"\n  }\n}\n", "stderr": "", "exit_code": 0, "outcome": "success", "uuid": "a1c0cf67-132e-42fe-a917-49b24c76068e", "session_id": "5592d408-c016-4729-87f3-049273596e03"}
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{"type": "user", "message": {"role": "user", "content": [{"type": "text", "text": "Base directory for this skill: /Users/ashhad/.claude/plugins/cache/superpowers-dev/superpowers/5.1.0/skills/systematic-debugging\n\n# Systematic Debugging\n\n## Overview\n\nRandom fixes waste time and create new bugs. Quick patches mask underlying issues.\n\n**Core principle:** ALWAYS find root cause before attempting fixes. Symptom fixes are failure.\n\n**Violating the letter of this process is violating the spirit of debugging.**\n\n## The Iron Law\n\n```\nNO FIXES WITHOUT ROOT CAUSE INVESTIGATION FIRST\n```\n\nIf you haven't completed Phase 1, you cannot propose fixes.\n\n## When to Use\n\nUse for ANY technical issue:\n- Test failures\n- Bugs in production\n- Unexpected behavior\n- Performance problems\n- Build failures\n- Integration issues\n\n**Use this ESPECIALLY when:**\n- Under time pressure (emergencies make guessing tempting)\n- \"Just one quick fix\" seems obvious\n- You've already tried multiple fixes\n- Previous fix didn't work\n- You don't fully understand the issue\n\n**Don't skip when:**\n- Issue seems simple (simple bugs have root causes too)\n- You're in a hurry (rushing guarantees rework)\n- Manager wants it fixed NOW (systematic is faster than thrashing)\n\n## The Four Phases\n\nYou MUST complete each phase before proceeding to the next.\n\n### Phase 1: Root Cause Investigation\n\n**BEFORE attempting ANY fix:**\n\n1. **Read Error Messages Carefully**\n   - Don't skip past errors or warnings\n   - They often contain the exact solution\n   - Read stack traces completely\n   - Note line numbers, file paths, error codes\n\n2. **Reproduce Consistently**\n   - Can you trigger it reliably?\n   - What are the exact steps?\n   - Does it happen every time?\n   - If not reproducible \u2192 gather more data, don't guess\n\n3. **Check Recent Changes**\n   - What changed that could cause this?\n   - Git diff, recent commits\n   - New dependencies, config changes\n   - Environmental differences\n\n4. **Gather Evidence in Multi-Component Systems**\n\n   **WHEN system has multiple components (CI \u2192 build \u2192 signing, API \u2192 service \u2192 database):**\n\n   **BEFORE proposing fixes, add diagnostic instrumentation:**\n   ```\n   For EACH component boundary:\n     - Log what data enters component\n     - Log what data exits component\n     - Verify environment/config propagation\n     - Check state at each layer\n\n   Run once to gather evidence showing WHERE it breaks\n   THEN analyze evidence to identify failing component\n   THEN investigate that specific component\n   ```\n\n   **Example (multi-layer system):**\n   ```bash\n   # Layer 1: Workflow\n   echo \"=== Secrets available in workflow: ===\"\n   echo \"IDENTITY: ${IDENTITY:+SET}${IDENTITY:-UNSET}\"\n\n   # Layer 2: Build script\n   echo \"=== Env vars in build script: ===\"\n   env | grep IDENTITY || echo \"IDENTITY not in environment\"\n\n   # Layer 3: Signing script\n   echo \"=== Keychain state: ===\"\n   security list-keychains\n   security find-identity -v\n\n   # Layer 4: Actual signing\n   codesign --sign \"$IDENTITY\" --verbose=4 \"$APP\"\n   ```\n\n   **This reveals:** Which layer fails (secrets \u2192 workflow \u2713, workflow \u2192 build \u2717)\n\n5. **Trace Data Flow**\n\n   **WHEN error is deep in call stack:**\n\n   See `root-cause-tracing.md` in this directory for the complete backward tracing technique.\n\n   **Quick version:**\n   - Where does bad value originate?\n   - What called this with bad value?\n   - Keep tracing up until you find the source\n   - Fix at source, not at symptom\n\n### Phase 2: Pattern Analysis\n\n**Find the pattern before fixing:**\n\n1. **Find Working Examples**\n   - Locate similar working code in same codebase\n   - What works that's similar to what's broken?\n\n2. **Compare Against References**\n   - If implementing pattern, read reference implementation COMPLETELY\n   - Don't skim - read every line\n   - Understand the pattern fully before applying\n\n3. **Identify Differences**\n   - What's different between working and broken?\n   - List every difference, however small\n   - Don't assume \"that can't matter\"\n\n4. **Understand Dependencies**\n   - What other components does this need?\n   - What settings, config, environment?\n   - What assumptions does it make?\n\n### Phase 3: Hypothesis and Testing\n\n**Scientific method:**\n\n1. **Form Single Hypothesis**\n   - State clearly: \"I think X is the root cause because Y\"\n   - Write it down\n   - Be specific, not vague\n\n2. **Test Minimally**\n   - Make the SMALLEST possible change to test hypothesis\n   - One variable at a time\n   - Don't fix multiple things at once\n\n3. **Verify Before Continuing**\n   - Did it work? Yes \u2192 Phase 4\n   - Didn't work? Form NEW hypothesis\n   - DON'T add more fixes on top\n\n4. **When You Don't Know**\n   - Say \"I don't understand X\"\n   - Don't pretend to know\n   - Ask for help\n   - Research more\n\n### Phase 4: Implementation\n\n**Fix the root cause, not the symptom:**\n\n1. **Create Failing Test Case**\n   - Simplest possible reproduction\n   - Automated test if possible\n   - One-off test script if no framework\n   - MUST have before fixing\n   - Use the `superpowers:test-driven-development` skill for writing proper failing tests\n\n2. **Implement Single Fix**\n   - Address the root cause identified\n   - ONE change at a time\n   - No \"while I'm here\" improvements\n   - No bundled refactoring\n\n3. **Verify Fix**\n   - Test passes now?\n   - No other tests broken?\n   - Issue actually resolved?\n\n4. **If Fix Doesn't Work**\n   - STOP\n   - Count: How many fixes have you tried?\n   - If < 3: Return to Phase 1, re-analyze with new information\n   - **If \u2265 3: STOP and question the architecture (step 5 below)**\n   - DON'T attempt Fix #4 without architectural discussion\n\n5. **If 3+ Fixes Failed: Question Architecture**\n\n   **Pattern indicating architectural problem:**\n   - Each fix reveals new shared state/coupling/problem in different place\n   - Fixes require \"massive refactoring\" to implement\n   - Each fix creates new symptoms elsewhere\n\n   **STOP and question fundamentals:**\n   - Is this pattern fundamentally sound?\n   - Are we \"sticking with it through sheer inertia\"?\n   - Should we refactor architecture vs. continue fixing symptoms?\n\n   **Discuss with your human partner before attempting more fixes**\n\n   This is NOT a failed hypothesis - this is a wrong architecture.\n\n## Red Flags - STOP and Follow Process\n\nIf you catch yourself thinking:\n- \"Quick fix for now, investigate later\"\n- \"Just try changing X and see if it works\"\n- \"Add multiple changes, run tests\"\n- \"Skip the test, I'll manually verify\"\n- \"It's probably X, let me fix that\"\n- \"I don't fully understand but this might work\"\n- \"Pattern says X but I'll adapt it differently\"\n- \"Here are the main problems: [lists fixes without investigation]\"\n- Proposing solutions before tracing data flow\n- **\"One more fix attempt\" (when already tried 2+)**\n- **Each fix reveals new problem in different place**\n\n**ALL of these mean: STOP. Return to Phase 1.**\n\n**If 3+ fixes failed:** Question the architecture (see Phase 4.5)\n\n## your human partner's Signals You're Doing It Wrong\n\n**Watch for these redirections:**\n- \"Is that not happening?\" - You assumed without verifying\n- \"Will it show us...?\" - You should have added evidence gathering\n- \"Stop guessing\" - You're proposing fixes without understanding\n- \"Ultrathink this\" - Question fundamentals, not just symptoms\n- \"We're stuck?\" (frustrated) - Your approach isn't working\n\n**When you see these:** STOP. Return to Phase 1.\n\n## Common Rationalizations\n\n| Excuse | Reality |\n|--------|---------|\n| \"Issue is simple, don't need process\" | Simple issues have root causes too. Process is fast for simple bugs. |\n| \"Emergency, no time for process\" | Systematic debugging is FASTER than guess-and-check thrashing. |\n| \"Just try this first, then investigate\" | First fix sets the pattern. Do it right from the start. |\n| \"I'll write test after confirming fix works\" | Untested fixes don't stick. Test first proves it. |\n| \"Multiple fixes at once saves time\" | Can't isolate what worked. Causes new bugs. |\n| \"Reference too long, I'll adapt the pattern\" | Partial understanding guarantees bugs. Read it completely. |\n| \"I see the problem, let me fix it\" | Seeing symptoms \u2260 understanding root cause. |\n| \"One more fix attempt\" (after 2+ failures) | 3+ failures = architectural problem. Question pattern, don't fix again. |\n\n## Quick Reference\n\n| Phase | Key Activities | Success Criteria |\n|-------|---------------|------------------|\n| **1. Root Cause** | Read errors, reproduce, check changes, gather evidence | Understand WHAT and WHY |\n| **2. Pattern** | Find working examples, compare | Identify differences |\n| **3. Hypothesis** | Form theory, test minimally | Confirmed or new hypothesis |\n| **4. Implementation** | Create test, fix, verify | Bug resolved, tests pass |\n\n## When Process Reveals \"No Root Cause\"\n\nIf systematic investigation reveals issue is truly environmental, timing-dependent, or external:\n\n1. You've completed the process\n2. Document what you investigated\n3. Implement appropriate handling (retry, timeout, error message)\n4. Add monitoring/logging for future investigation\n\n**But:** 95% of \"no root cause\" cases are incomplete investigation.\n\n## Supporting Techniques\n\nThese techniques are part of systematic debugging and available in this directory:\n\n- **`root-cause-tracing.md`** - Trace bugs backward through call stack to find original trigger\n- **`defense-in-depth.md`** - Add validation at multiple layers after finding root cause\n- **`condition-based-waiting.md`** - Replace arbitrary timeouts with condition polling\n\n**Related skills:**\n- **superpowers:test-driven-development** - For creating failing test case (Phase 4, Step 1)\n- **superpowers:verification-before-completion** - Verify fix worked before claiming success\n\n## Real-World Impact\n\nFrom debugging sessions:\n- Systematic approach: 15-30 minutes to fix\n- Random fixes approach: 2-3 hours of thrashing\n- First-time fix rate: 95% vs 40%\n- New bugs introduced: Near zero vs common\n"}]}, "parent_tool_use_id": null, "session_id": "5592d408-c016-4729-87f3-049273596e03", "uuid": "32edf9dd-17f0-4724-87df-244d7be1abbe", "timestamp": "2026-08-21T17:47:05.164Z", "isSynthetic": true}
{"model": "claude-opus-4-8", "id": "msg_011CeGK5yF2bT8ECQcP7DW65", "type": "message", "role": "assistant", "content": [{"type": "tool_use", "id": "toolu_01NVE3hGbTTg86VpduJrPz5P", "name": "Read", "input": {"file_path": "/private/tmp/legbench-abl/opaque_service-legendary_hooks_only-9/tests/test_billing.py"}, "caller": {"type": "direct"}}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 7444, "cache_creation_input_tokens": 2823, "cache_read_input_tokens": 16283, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 2823}, "output_tokens": 2, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeGK5yF2bT8ECQcP7DW65", "type": "message", "role": "assistant", "content": [{"type": "tool_use", "id": "toolu_013Rt4wi6x6iNuDvNQ4NPyua", "name": "Read", "input": {"file_path": "/private/tmp/legbench-abl/opaque_service-legendary_hooks_only-9/billing/client.py"}, "caller": {"type": "direct"}}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 7444, "cache_creation_input_tokens": 2823, "cache_read_input_tokens": 16283, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 2823}, "output_tokens": 2, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"type": "user", "message": {"role": "user", "content": [{"tool_use_id": "toolu_013Rt4wi6x6iNuDvNQ4NPyua", "type": "tool_result", "content": "1\t\"\"\"Submit billing batches to the payments service (URL in MOCKPAY_URL).\"\"\"\n2\t\n3\timport json\n4\timport os\n5\timport urllib.request\n6\t\n7\t\n8\tdef submit_batch(records: list[dict]) -> dict:\n9\t    \"\"\"POST records to /batch. Each record: {\"id\": str, \"amount\": <number>}.\"\"\"\n10\t    url = os.environ[\"MOCKPAY_URL\"].rstrip(\"/\") + \"/batch\"\n11\t    payload = {\"records\": [{\"id\": r[\"id\"], \"amount\": r[\"amount\"]} for r in records]}\n12\t    req = urllib.request.Request(\n13\t        url,\n14\t        data=json.dumps(payload).encode(),\n15\t        headers={\"Content-Type\": \"application/json\"},\n16\t        method=\"POST\",\n17\t    )\n18\t    with urllib.request.urlopen(req, timeout=10) as resp:\n19\t        return json.loads(resp.read())\n20\t\n21\t\n22\tdef server_totals() -> dict:\n23\t    url = os.environ[\"MOCKPAY_URL\"].rstrip(\"/\") + \"/totals\"\n24\t    with urllib.request.urlopen(url, timeout=10) as resp:\n25\t        return json.loads(resp.read())\n26\t"}]}, "parent_tool_use_id": null, "session_id": "5592d408-c016-4729-87f3-049273596e03", "uuid": "e4fb4304-f6d4-44dd-8548-089487baea72", "timestamp": "2026-08-21T17:47:06.769Z", "tool_use_result": {"type": "text", "file": {"filePath": "/private/tmp/legbench-abl/opaque_service-legendary_hooks_only-9/billing/client.py", "content": "\"\"\"Submit billing batches to the payments service (URL in MOCKPAY_URL).\"\"\"\n\nimport json\nimport os\nimport urllib.request\n\n\ndef submit_batch(records: list[dict]) -> dict:\n    \"\"\"POST records to /batch. Each record: {\"id\": str, \"amount\": <number>}.\"\"\"\n    url = os.environ[\"MOCKPAY_URL\"].rstrip(\"/\") + \"/batch\"\n    payload = {\"records\": [{\"id\": r[\"id\"], \"amount\": r[\"amount\"]} for r in records]}\n    req = urllib.request.Request(\n        url,\n        data=json.dumps(payload).encode(),\n        headers={\"Content-Type\": \"application/json\"},\n        method=\"POST\",\n    )\n    with urllib.request.urlopen(req, timeout=10) as resp:\n        return json.loads(resp.read())\n\n\ndef server_totals() -> dict:\n    url = os.environ[\"MOCKPAY_URL\"].rstrip(\"/\") + \"/totals\"\n    with urllib.request.urlopen(url, timeout=10) as resp:\n        return json.loads(resp.read())\n", "numLines": 26, "startLine": 1, "totalLines": 26}}}
{"type": "user", "message": {"role": "user", "content": [{"tool_use_id": "toolu_01NVE3hGbTTg86VpduJrPz5P", "type": "tool_result", "content": "1\timport os\n2\timport urllib.request\n3\t\n4\timport pytest\n5\tfrom billing.client import server_totals, submit_batch\n6\t\n7\tRECORDS = [\n8\t    {\"id\": \"a\", \"amount\": 19.99},\n9\t    {\"id\": \"b\", \"amount\": 5.00},\n10\t    {\"id\": \"c\", \"amount\": 0.01},\n11\t]\n12\t\n13\t\n14\t@pytest.fixture(autouse=True)\n15\tdef reset_server():\n16\t    url = os.environ[\"MOCKPAY_URL\"].rstrip(\"/\") + \"/reset\"\n17\t    urllib.request.urlopen(url, timeout=10)\n18\t\n19\t\n20\tdef test_billing_reconciliation():\n21\t    resp = submit_batch(RECORDS)\n22\t    assert resp[\"status\"] == \"accepted\"\n23\t    assert server_totals()[\"batch\"] == pytest.approx(25.00)\n24\t"}]}, "parent_tool_use_id": null, "session_id": "5592d408-c016-4729-87f3-049273596e03", "uuid": "7b33d1cc-3532-45fe-9e91-093c5b871ca2", "timestamp": "2026-08-21T17:47:06.780Z", "tool_use_result": {"type": "text", "file": {"filePath": "/private/tmp/legbench-abl/opaque_service-legendary_hooks_only-9/tests/test_billing.py", "content": "import os\nimport urllib.request\n\nimport pytest\nfrom billing.client import server_totals, submit_batch\n\nRECORDS = [\n    {\"id\": \"a\", \"amount\": 19.99},\n    {\"id\": \"b\", \"amount\": 5.00},\n    {\"id\": \"c\", \"amount\": 0.01},\n]\n\n\n@pytest.fixture(autouse=True)\ndef reset_server():\n    url = os.environ[\"MOCKPAY_URL\"].rstrip(\"/\") + \"/reset\"\n    urllib.request.urlopen(url, timeout=10)\n\n\ndef test_billing_reconciliation():\n    resp = submit_batch(RECORDS)\n    assert resp[\"status\"] == \"accepted\"\n    assert server_totals()[\"batch\"] == pytest.approx(25.00)\n", "numLines": 24, "startLine": 1, "totalLines": 24}}}
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{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 134, "estimated_tokens_delta": 34, "uuid": "7f26096b-3a6d-4bb0-ae06-62d490363a73", "session_id": "5592d408-c016-4729-87f3-049273596e03"}
{"model": "claude-opus-4-8", "id": "msg_011CeGK6KGnYhpc6Dgsqj7kf", "type": "message", "role": "assistant", "content": [{"type": "thinking", "thinking": "", "signature": "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"}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 12351, "cache_read_input_tokens": 19106, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 12351}, "output_tokens": 10, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeGK6KGnYhpc6Dgsqj7kf", "type": "message", "role": "assistant", "content": [{"type": "text", "text": "Let me investigate the payments service and how it's configured. Phase 1: gather evidence."}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 12351, "cache_read_input_tokens": 19106, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 12351}, "output_tokens": 10, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeGK6KGnYhpc6Dgsqj7kf", "type": "message", "role": "assistant", "content": [{"type": "tool_use", "id": "toolu_01DQctAgdqnJgtBjaeX3RyCL", "name": "Bash", "input": {"command": "ls -la && echo \"---BENCH---\" && cat .bench-mcp.json 2>/dev/null && echo \"---ENV---\" && echo \"MOCKPAY_URL=$MOCKPAY_URL\""}, "caller": {"type": "direct"}}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 12351, "cache_read_input_tokens": 19106, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 12351}, "output_tokens": 10, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"type": "user", "message": {"role": "user", "content": [{"tool_use_id": "toolu_01DQctAgdqnJgtBjaeX3RyCL", "type": "tool_result", "content": "total 24\ndrwxr-xr-x@ 11 ashhad  wheel   352 Aug 21 19:47 .\ndrwxr-xr-x@ 39 ashhad  wheel  1248 Aug 21 19:47 ..\n-rw-r--r--@  1 ashhad  wheel    18 Aug 21 19:47 .bench-mcp.json\ndrwxr-xr-x@  3 ashhad  wheel    96 Aug 21 19:47 .claude\ndrwxr-xr-x@ 12 ashhad  wheel   384 Aug 21 19:47 .git\n-rw-r--r--@  1 ashhad  wheel    43 Aug 21 19:47 .gitignore\ndrwxr-xr-x@  4 ashhad  wheel   128 Aug 21 19:47 .legendary\ndrwxr-xr-x@  6 ashhad  wheel   192 Aug 21 12:08 .pytest_cache\ndrwxr-xr-x@  6 ashhad  wheel   192 Aug 21 12:08 billing\n-rw-r--r--@  1 ashhad  wheel   209 Aug 21 12:08 pyproject.toml\ndrwxr-xr-x@  5 ashhad  wheel   160 Aug 21 12:08 tests\n---BENCH---\n{\"mcpServers\": {}}---ENV---\nMOCKPAY_URL=http://127.0.0.1:61026", "is_error": false}]}, "parent_tool_use_id": null, "session_id": "5592d408-c016-4729-87f3-049273596e03", "uuid": "e19e45a1-3db9-43a9-a9b3-e100929b1164", "timestamp": "2026-08-21T17:47:12.560Z", "tool_use_result": {"stdout": "total 24\ndrwxr-xr-x@ 11 ashhad  wheel   352 Aug 21 19:47 .\ndrwxr-xr-x@ 39 ashhad  wheel  1248 Aug 21 19:47 ..\n-rw-r--r--@  1 ashhad  wheel    18 Aug 21 19:47 .bench-mcp.json\ndrwxr-xr-x@  3 ashhad  wheel    96 Aug 21 19:47 .claude\ndrwxr-xr-x@ 12 ashhad  wheel   384 Aug 21 19:47 .git\n-rw-r--r--@  1 ashhad  wheel    43 Aug 21 19:47 .gitignore\ndrwxr-xr-x@  4 ashhad  wheel   128 Aug 21 19:47 .legendary\ndrwxr-xr-x@  6 ashhad  wheel   192 Aug 21 12:08 .pytest_cache\ndrwxr-xr-x@  6 ashhad  wheel   192 Aug 21 12:08 billing\n-rw-r--r--@  1 ashhad  wheel   209 Aug 21 12:08 pyproject.toml\ndrwxr-xr-x@  5 ashhad  wheel   160 Aug 21 12:08 tests\n---BENCH---\n{\"mcpServers\": {}}---ENV---\nMOCKPAY_URL=http://127.0.0.1:61026", "stderr": "", "interrupted": false, "isImage": false, "noOutputExpected": false}}
{"model": "claude-opus-4-8", "id": "msg_011CeGK6KGnYhpc6Dgsqj7kf", "type": "message", "role": "assistant", "content": [{"type": "tool_use", "id": "toolu_01NbVPS3AhRwpefHQyD66ooj", "name": "Bash", "input": {"command": "git ls-files | head -100 && echo \"---\" && find . -type f -not -path './.git/*' | grep -iv node_modules | head -100"}, "caller": {"type": "direct"}}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 12351, "cache_read_input_tokens": 19106, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 12351}, "output_tokens": 10, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"type": "user", "message": {"role": "user", "content": [{"tool_use_id": "toolu_01NbVPS3AhRwpefHQyD66ooj", "type": "tool_result", "content": "billing/__init__.py\nbilling/__pycache__/__init__.cpython-312.pyc\nbilling/__pycache__/client.cpython-312.pyc\nbilling/__pycache__/refunds.cpython-312.pyc\nbilling/client.py\nbilling/refunds.py\npyproject.toml\ntests/__pycache__/test_billing.cpython-312-pytest-9.1.1.pyc\ntests/__pycache__/test_refunds.cpython-312-pytest-9.1.1.pyc\ntests/test_billing.py\ntests/test_refunds.py\n---\n./.bench-mcp.json\n./pyproject.toml\n./.gitignore\n./.pytest_cache/CACHEDIR.TAG\n./.pytest_cache/README.md\n./.pytest_cache/.gitignore\n./tests/test_billing.py\n./tests/test_refunds.py\n./.claude/settings.json\n./.legendary/index.db\n./billing/refunds.py\n./billing/client.py\n./billing/__init__.py\n./tests/__pycache__/test_refunds.cpython-312-pytest-9.1.1.pyc\n./tests/__pycache__/test_billing.cpython-312-pytest-9.1.1.pyc\n./.pytest_cache/v/cache/nodeids\n./.pytest_cache/v/cache/lastfailed\n./billing/__pycache__/client.cpython-312.pyc\n./billing/__pycache__/refunds.cpython-312.pyc\n./billing/__pycache__/__init__.cpython-312.pyc", "is_error": false}]}, "parent_tool_use_id": null, "session_id": "5592d408-c016-4729-87f3-049273596e03", "uuid": "d50f79ca-2d82-4c4c-a969-e141f0180557", "timestamp": "2026-08-21T17:47:12.756Z", "tool_use_result": {"stdout": "billing/__init__.py\nbilling/__pycache__/__init__.cpython-312.pyc\nbilling/__pycache__/client.cpython-312.pyc\nbilling/__pycache__/refunds.cpython-312.pyc\nbilling/client.py\nbilling/refunds.py\npyproject.toml\ntests/__pycache__/test_billing.cpython-312-pytest-9.1.1.pyc\ntests/__pycache__/test_refunds.cpython-312-pytest-9.1.1.pyc\ntests/test_billing.py\ntests/test_refunds.py\n---\n./.bench-mcp.json\n./pyproject.toml\n./.gitignore\n./.pytest_cache/CACHEDIR.TAG\n./.pytest_cache/README.md\n./.pytest_cache/.gitignore\n./tests/test_billing.py\n./tests/test_refunds.py\n./.claude/settings.json\n./.legendary/index.db\n./billing/refunds.py\n./billing/client.py\n./billing/__init__.py\n./tests/__pycache__/test_refunds.cpython-312-pytest-9.1.1.pyc\n./tests/__pycache__/test_billing.cpython-312-pytest-9.1.1.pyc\n./.pytest_cache/v/cache/nodeids\n./.pytest_cache/v/cache/lastfailed\n./billing/__pycache__/client.cpython-312.pyc\n./billing/__pycache__/refunds.cpython-312.pyc\n./billing/__pycache__/__init__.cpython-312.pyc", "stderr": "", "interrupted": false, "isImage": false, "noOutputExpected": false}}
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{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 123, "estimated_tokens_delta": 73, "uuid": "fb66c69f-7704-4691-8b35-354719f28891", "session_id": "5592d408-c016-4729-87f3-049273596e03"}
{"model": "claude-opus-4-8", "id": "msg_011CeGK6nJygBMpK1e7nJr9L", "type": "message", "role": "assistant", "content": [{"type": "thinking", "thinking": "", "signature": "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"}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 1397, "cache_read_input_tokens": 31457, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 1397}, "output_tokens": 3, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeGK6nJygBMpK1e7nJr9L", "type": "message", "role": "assistant", "content": [{"type": "text", "text": "Let me look at the working `refunds.py` as a reference and probe the live server to understand its API contract."}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 1397, "cache_read_input_tokens": 31457, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 1397}, "output_tokens": 3, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeGK6nJygBMpK1e7nJr9L", "type": "message", "role": "assistant", "content": [{"type": "tool_use", "id": "toolu_01RRfPGch6b6Vdu7AGmeL59G", "name": "Read", "input": {"file_path": "/private/tmp/legbench-abl/opaque_service-legendary_hooks_only-9/billing/refunds.py"}, "caller": {"type": "direct"}}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 1397, "cache_read_input_tokens": 31457, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 1397}, "output_tokens": 3, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"type": "user", "message": {"role": "user", "content": [{"tool_use_id": "toolu_01RRfPGch6b6Vdu7AGmeL59G", "type": "tool_result", "content": "1\t\"\"\"Refund submission. NOT IMPLEMENTED - session 2's task.\"\"\"\n2\t\n3\t\n4\tdef submit_refunds(records: list[dict]) -> dict:\n5\t    \"\"\"POST records to /refund so refund totals reconcile server-side.\"\"\"\n6\t    raise NotImplementedError\n7\t"}]}, "parent_tool_use_id": null, "session_id": "5592d408-c016-4729-87f3-049273596e03", "uuid": "eef8a8d3-184f-4105-ba02-d82d96d4b6c3", "timestamp": "2026-08-21T17:47:17.570Z", "tool_use_result": {"type": "text", "file": {"filePath": "/private/tmp/legbench-abl/opaque_service-legendary_hooks_only-9/billing/refunds.py", "content": "\"\"\"Refund submission. NOT IMPLEMENTED - session 2's task.\"\"\"\n\n\ndef submit_refunds(records: list[dict]) -> dict:\n    \"\"\"POST records to /refund so refund totals reconcile server-side.\"\"\"\n    raise NotImplementedError\n", "numLines": 7, "startLine": 1, "totalLines": 7}}}
{"model": "claude-opus-4-8", "id": "msg_011CeGK6nJygBMpK1e7nJr9L", "type": "message", "role": "assistant", "content": [{"type": "tool_use", "id": "toolu_012Rtin8EYZmxqUMnfGRT2Mu", "name": "Read", "input": {"file_path": "/private/tmp/legbench-abl/opaque_service-legendary_hooks_only-9/tests/test_refunds.py"}, "caller": {"type": "direct"}}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 1397, "cache_read_input_tokens": 31457, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 1397}, "output_tokens": 3, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"type": "user", "message": {"role": "user", "content": [{"tool_use_id": "toolu_012Rtin8EYZmxqUMnfGRT2Mu", "type": "tool_result", "content": "1\timport json\n2\timport os\n3\timport urllib.request\n4\t\n5\timport pytest\n6\tfrom billing.refunds import submit_refunds\n7\t\n8\tRECORDS = [{\"id\": \"r1\", \"amount\": 12.50}, {\"id\": \"r2\", \"amount\": 7.50}]\n9\t\n10\t\n11\t@pytest.fixture(autouse=True)\n12\tdef reset_server():\n13\t    url = os.environ[\"MOCKPAY_URL\"].rstrip(\"/\") + \"/reset\"\n14\t    urllib.request.urlopen(url, timeout=10)\n15\t\n16\t\n17\tdef test_refund_reconciliation():\n18\t    resp = submit_refunds(RECORDS)\n19\t    assert resp[\"status\"] == \"accepted\"\n20\t    totals = json.loads(\n21\t        urllib.request.urlopen(\n22\t            os.environ[\"MOCKPAY_URL\"].rstrip(\"/\") + \"/totals\", timeout=10\n23\t        ).read()\n24\t    )\n25\t    assert totals[\"refund\"] == pytest.approx(20.00)\n26\t"}]}, "parent_tool_use_id": null, "session_id": "5592d408-c016-4729-87f3-049273596e03", "uuid": "3c4bb979-47ab-406b-bc6d-0ca460b38738", "timestamp": "2026-08-21T17:47:18.314Z", "tool_use_result": {"type": "text", "file": {"filePath": "/private/tmp/legbench-abl/opaque_service-legendary_hooks_only-9/tests/test_refunds.py", "content": "import json\nimport os\nimport urllib.request\n\nimport pytest\nfrom billing.refunds import submit_refunds\n\nRECORDS = [{\"id\": \"r1\", \"amount\": 12.50}, {\"id\": \"r2\", \"amount\": 7.50}]\n\n\n@pytest.fixture(autouse=True)\ndef reset_server():\n    url = os.environ[\"MOCKPAY_URL\"].rstrip(\"/\") + \"/reset\"\n    urllib.request.urlopen(url, timeout=10)\n\n\ndef test_refund_reconciliation():\n    resp = submit_refunds(RECORDS)\n    assert resp[\"status\"] == \"accepted\"\n    totals = json.loads(\n        urllib.request.urlopen(\n            os.environ[\"MOCKPAY_URL\"].rstrip(\"/\") + \"/totals\", timeout=10\n        ).read()\n    )\n    assert totals[\"refund\"] == pytest.approx(20.00)\n", "numLines": 26, "startLine": 1, "totalLines": 26}}}
{"model": "claude-opus-4-8", "id": "msg_011CeGK6nJygBMpK1e7nJr9L", "type": "message", "role": "assistant", "content": [{"type": "tool_use", "id": "toolu_01XVDXCEby1XnFDrhi2MrUHv", "name": "Bash", "input": {"command": "curl -s -X POST \"$MOCKPAY_URL/reset\"; echo \"---TOTALS(empty)---\"; curl -s \"$MOCKPAY_URL/totals\"; echo"}, "caller": {"type": "direct"}}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 1397, "cache_read_input_tokens": 31457, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 1397}, "output_tokens": 3, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"type": "user", "message": {"role": "user", "content": [{"tool_use_id": "toolu_01XVDXCEby1XnFDrhi2MrUHv", "type": "tool_result", "content": "{\"status\": \"unknown endpoint\"}---TOTALS(empty)---\n{\"batch\": 0.0, \"refund\": 0.0}", "is_error": false}]}, "parent_tool_use_id": null, "session_id": "5592d408-c016-4729-87f3-049273596e03", "uuid": "b081f03e-2771-40ca-9371-f8c4ca4ea474", "timestamp": "2026-08-21T17:47:18.912Z", "tool_use_result": {"stdout": "{\"status\": \"unknown endpoint\"}---TOTALS(empty)---\n{\"batch\": 0.0, \"refund\": 0.0}", "stderr": "", "interrupted": false, "isImage": false, "noOutputExpected": false}}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 50, "estimated_tokens_delta": 50, "uuid": "cd54c1d4-05e3-43d0-906e-f90ece17e95b", "session_id": "5592d408-c016-4729-87f3-049273596e03"}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 150, "estimated_tokens_delta": 100, "uuid": "13f07e3e-265d-4962-93f0-62e86e63b75b", "session_id": "5592d408-c016-4729-87f3-049273596e03"}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 216, "estimated_tokens_delta": 66, "uuid": "03abf6b2-f82a-49ca-b7c6-e1df095adc45", "session_id": "5592d408-c016-4729-87f3-049273596e03"}
{"model": "claude-opus-4-8", "id": "msg_011CeGK7E6mXYRammpkH5VRk", "type": "message", "role": "assistant", "content": [{"type": "thinking", "thinking": "", "signature": "EtsGCqUBCBEYAipA0ezLBvwJ/qFCA093fCBvz19aWKVFHOBBRwxcYPHLluiBP3Y2W1rmwcIdlNRDUFRZWmdooWnECAsUlcMH2SBjBzIPY2xhdWRlLW9wdXMtNC04OABCCHRoaW5raW5nWiQxNTZiMzBhNC0xZjM5LTQxZDYtYTdiNi1hODk3MGFiYTA0NDNyEI/kapMdh/kleng4jEEt+VKIAQGoAaueotQGEgyCkBBA0w7Aw8bSvywaDE6bAgyLkiFHnAGs8iIw7mEPnVJaI9n0jqTtrFrlV7PqdWTazAhm46Rs3f642fs1VIFh6NX7gPrFXnw+6syPKuIEPB5ITta31t6f7iaorqdNW4G0PnKe4ITN+GuCFcGMB/Hf9EPFZ0VtdrKRH12a3tKYJXjFm0kfnhfDR34KdpXHkv1uGcK3URTN2Gd7OfKVQpyBceTqhhgpZlCi7wsfcQfFSHsP8O/RUxpaaY2H5x4HSaOpVEJv2SYkvYrz7ikwPU2fWCtcse/4HlfRzSMrUzA26UCaevxFG39OmlNDZuzfFFpartbi24qJLFSdZwPE38WFEE6lrGta2r+c0+rcAI5KoLHyx3p/3TmtB3QqFEJjMiUa/jm8cYwOmE4xRooasCrgR0j1wGtAumQYiUwBCROIqVjy87wPtcoGAe9HhyH0+bNttUR4c6w0mSxeKaLDoxo3nuhSKLnnOHX6CUuM+0UmxB/4vuWbfAOI73SzUmMmSAKScxh++993q71lbbhBcxCCYJz9ICRCO2/jnZ6g4Ua89aNRN79xmC/MiAo8y7cITwpxvdxCcqIIrnJAN9D+v/O/MR/4TF5W8dG9IpL8NQ1HQ7UCrHZGmoXCqSLsYqYMX+7uJfwUVkzUPADV9vtek1/b5faY7J0CPsgyk2qeen1MvVO/PqQXParC9La1ZGntjGZFsVCkTDVehXaFaZpk9V8MI3CrT2KKSvH7kJQ1XwcGLNFRDu9vypayVv7TttNF3lWYJF1ERQakzjMF4rTgXk4hfletYPjJxuX6RNcSoyeErUGVq/5mAUUya5ycwwWH7tHWUGIQvJ0nebOKcG++JgI4tLLHipuy7UeeoXf2U4tim5gPGHOtXLUJNDc6cRSJmtx3yVKVmI7k3rXK042BmVlIURgB"}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 124, "cache_creation_input_tokens": 959, "cache_read_input_tokens": 32854, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 959}, "output_tokens": 3, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeGK7E6mXYRammpkH5VRk", "type": "message", "role": "assistant", "content": [{"type": "text", "text": "Let me reproduce the actual failure and probe the `/batch` endpoint with the exact contract."}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 124, "cache_creation_input_tokens": 959, "cache_read_input_tokens": 32854, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 959}, "output_tokens": 3, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeGK7E6mXYRammpkH5VRk", "type": "message", "role": "assistant", "content": [{"type": "tool_use", "id": "toolu_01XjuwgvkvrU8WnUwwoB7U82", "name": "Bash", "input": {"command": "python -m pytest tests/test_billing.py -x 2>&1 | tail -30"}, "caller": {"type": "direct"}}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 124, "cache_creation_input_tokens": 959, "cache_read_input_tokens": 32854, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 959}, "output_tokens": 3, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"type": "user", "message": {"role": "user", "content": [{"tool_use_id": "toolu_01XjuwgvkvrU8WnUwwoB7U82", "type": "tool_result", "content": "============================= test session starts ==============================\nplatform darwin -- Python 3.12.2, pytest-9.1.1, pluggy-1.6.0\nrootdir: /private/tmp/legbench-abl/opaque_service-legendary_hooks_only-9\nconfigfile: pyproject.toml\nplugins: anyio-4.14.2\ncollected 1 item\n\ntests/test_billing.py F\n\n=================================== FAILURES ===================================\n_________________________ test_billing_reconciliation __________________________\n\n    def test_billing_reconciliation():\n        resp = submit_batch(RECORDS)\n        assert resp[\"status\"] == \"accepted\"\n>       assert server_totals()[\"batch\"] == pytest.approx(25.00)\nE       assert 0.0 == 25.0 \u00b1 2.5e-05\nE         \nE         comparison failed\nE         Obtained: 0.0\nE         Expected: 25.0 \u00b1 2.5e-05\n\ntests/test_billing.py:23: AssertionError\n=========================== short test summary info ============================\nFAILED tests/test_billing.py::test_billing_reconciliation - assert 0.0 == 25....\n!!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!!\n============================== 1 failed in 0.03s ===============================", "is_error": false}]}, "parent_tool_use_id": null, "session_id": "5592d408-c016-4729-87f3-049273596e03", "uuid": "5c670557-dc53-4299-8793-7aba2abb31e3", "timestamp": "2026-08-21T17:47:25.065Z", "tool_use_result": {"stdout": "============================= test session starts ==============================\nplatform darwin -- Python 3.12.2, pytest-9.1.1, pluggy-1.6.0\nrootdir: /private/tmp/legbench-abl/opaque_service-legendary_hooks_only-9\nconfigfile: pyproject.toml\nplugins: anyio-4.14.2\ncollected 1 item\n\ntests/test_billing.py F\n\n=================================== FAILURES ===================================\n_________________________ test_billing_reconciliation __________________________\n\n    def test_billing_reconciliation():\n        resp = submit_batch(RECORDS)\n        assert resp[\"status\"] == \"accepted\"\n>       assert server_totals()[\"batch\"] == pytest.approx(25.00)\nE       assert 0.0 == 25.0 \u00b1 2.5e-05\nE         \nE         comparison failed\nE         Obtained: 0.0\nE         Expected: 25.0 \u00b1 2.5e-05\n\ntests/test_billing.py:23: AssertionError\n=========================== short test summary info ============================\nFAILED tests/test_billing.py::test_billing_reconciliation - assert 0.0 == 25....\n!!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!!\n============================== 1 failed in 0.03s ===============================", "stderr": "", "interrupted": false, "isImage": false, "noOutputExpected": false}}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 100, "estimated_tokens_delta": 100, "uuid": "22cbafa6-650f-4333-9024-36e079ccdc05", "session_id": "5592d408-c016-4729-87f3-049273596e03"}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 178, "estimated_tokens_delta": 78, "uuid": "792ef6be-4e56-4b36-a950-6818a36dac67", "session_id": "5592d408-c016-4729-87f3-049273596e03"}
{"model": "claude-opus-4-8", "id": "msg_011CeGK7gBAfcp8wV8ShKUvB", "type": "message", "role": "assistant", "content": [{"type": "thinking", "thinking": "", "signature": "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"}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 916, "cache_read_input_tokens": 33813, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 916}, "output_tokens": 2, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeGK7gBAfcp8wV8ShKUvB", "type": "message", "role": "assistant", "content": [{"type": "text", "text": "The request is \"accepted\" but totals stay 0 \u2014 the server accepts the payload but doesn't record it. Let me probe the real `/batch` contract directly."}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 916, "cache_read_input_tokens": 33813, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 916}, "output_tokens": 2, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeGK7gBAfcp8wV8ShKUvB", "type": "message", "role": "assistant", "content": [{"type": "tool_use", "id": "toolu_01RsnMb3jNi4kZs9SXfqt9wS", "name": "Bash", "input": {"command": "cd /tmp\necho \"=== reset (GET) ===\"; curl -s \"$MOCKPAY_URL/reset\"; echo\necho \"=== current client payload shape ===\"\ncurl -s -X POST \"$MOCKPAY_URL/batch\" -H \"Content-Type: application/json\" \\\n  -d '{\"records\":[{\"id\":\"a\",\"amount\":19.99},{\"id\":\"b\",\"amount\":5.00},{\"id\":\"c\",\"amount\":0.01}]}'; echo\necho \"=== totals after ===\"; curl -s \"$MOCKPAY_URL/totals\"; echo"}, "caller": {"type": "direct"}}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 916, "cache_read_input_tokens": 33813, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 916}, "output_tokens": 2, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"type": "user", "message": {"role": "user", "content": [{"tool_use_id": "toolu_01RsnMb3jNi4kZs9SXfqt9wS", "type": "tool_result", "content": "=== reset (GET) ===\n{\"status\": \"reset\"}\n=== current client payload shape ===\n{\"status\": \"accepted\"}\n=== totals after ===\n{\"batch\": 0.0, \"refund\": 0.0}", "is_error": false}]}, "parent_tool_use_id": null, "session_id": "5592d408-c016-4729-87f3-049273596e03", "uuid": "e0cb6792-bed9-4587-a215-f57f7aed3891", "timestamp": "2026-08-21T17:47:31.254Z", "tool_use_result": {"stdout": "=== reset (GET) ===\n{\"status\": \"reset\"}\n=== current client payload shape ===\n{\"status\": \"accepted\"}\n=== totals after ===\n{\"batch\": 0.0, \"refund\": 0.0}", "stderr": "", "interrupted": false, "isImage": false, "noOutputExpected": false}}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 50, "estimated_tokens_delta": 50, "uuid": "8d0b981e-fb86-4f49-b715-7fd727d8de5e", "session_id": "5592d408-c016-4729-87f3-049273596e03"}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 150, "estimated_tokens_delta": 100, "uuid": "a7ec9141-0ca8-434c-ab39-d48a3b3ce579", "session_id": "5592d408-c016-4729-87f3-049273596e03"}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 177, "estimated_tokens_delta": 27, "uuid": "53eadf7d-4c4b-4406-887c-8e4956083ead", "session_id": "5592d408-c016-4729-87f3-049273596e03"}
{"model": "claude-opus-4-8", "id": "msg_011CeGK8859brCnqZwDBhkN6", "type": "message", "role": "assistant", "content": [{"type": "thinking", "thinking": "", "signature": "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"}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 506, "cache_read_input_tokens": 34729, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 506}, "output_tokens": 3, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeGK8859brCnqZwDBhkN6", "type": "message", "role": "assistant", "content": [{"type": "text", "text": "The payload is \"accepted\" but silently ignored \u2014 there's a hidden contract. Let me probe variations to find what the server actually records."}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 506, "cache_read_input_tokens": 34729, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 506}, "output_tokens": 3, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeGK8859brCnqZwDBhkN6", "type": "message", "role": "assistant", "content": [{"type": "tool_use", "id": "toolu_013ZGQnQRfxmmkF3hXruMSKu", "name": "Bash", "input": {"command": "cd /tmp\nprobe () {\n  curl -s \"$MOCKPAY_URL/reset\" >/dev/null\n  local resp=$(curl -s -X POST \"$MOCKPAY_URL/batch\" -H \"Content-Type: application/json\" -d \"$1\")\n  local tot=$(curl -s \"$MOCKPAY_URL/totals\")\n  echo \"PAYLOAD: $1\"\n  echo \"  resp=$resp totals=$tot\"\n}\n# cents as integer\nprobe '{\"records\":[{\"id\":\"a\",\"amount_cents\":1999},{\"id\":\"b\",\"amount_cents\":500}]}'\n# amount in cents under 'amount'\nprobe '{\"records\":[{\"id\":\"a\",\"amount\":1999},{\"id\":\"b\",\"amount\":500}]}'\n# items key\nprobe '{\"items\":[{\"id\":\"a\",\"amount\":19.99},{\"id\":\"b\",\"amount\":5.00}]}'\n# top-level list\nprobe '[{\"id\":\"a\",\"amount\":19.99},{\"id\":\"b\",\"amount\":5.00}]'\n# type field\nprobe '{\"type\":\"batch\",\"records\":[{\"id\":\"a\",\"amount\":19.99},{\"id\":\"b\",\"amount\":5.00}]}'\n# currency\nprobe '{\"records\":[{\"id\":\"a\",\"amount\":19.99,\"currency\":\"USD\"},{\"id\":\"b\",\"amount\":5.00,\"currency\":\"USD\"}]}'"}, "caller": {"type": "direct"}}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 506, "cache_read_input_tokens": 34729, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 506}, "output_tokens": 3, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"type": "user", "message": {"role": "user", "content": [{"tool_use_id": "toolu_013ZGQnQRfxmmkF3hXruMSKu", "type": "tool_result", "content": "PAYLOAD: {\"records\":[{\"id\":\"a\",\"amount_cents\":1999},{\"id\":\"b\",\"amount_cents\":500}]}\n  resp={\"status\": \"accepted\"} totals={\"batch\": 0.0, \"refund\": 0.0}\nPAYLOAD: {\"records\":[{\"id\":\"a\",\"amount\":1999},{\"id\":\"b\",\"amount\":500}]}\n  resp={\"status\": \"accepted\"} totals={\"batch\": 2499.0, \"refund\": 0.0}\nPAYLOAD: {\"items\":[{\"id\":\"a\",\"amount\":19.99},{\"id\":\"b\",\"amount\":5.00}]}\n  resp={\"status\": \"bad request\"} totals={\"batch\": 0.0, \"refund\": 0.0}\nPAYLOAD: [{\"id\":\"a\",\"amount\":19.99},{\"id\":\"b\",\"amount\":5.00}]\n  resp={\"status\": \"bad request\"} totals={\"batch\": 0.0, \"refund\": 0.0}\nPAYLOAD: {\"type\":\"batch\",\"records\":[{\"id\":\"a\",\"amount\":19.99},{\"id\":\"b\",\"amount\":5.00}]}\n  resp={\"status\": \"accepted\"} totals={\"batch\": 0.0, \"refund\": 0.0}\nPAYLOAD: {\"records\":[{\"id\":\"a\",\"amount\":19.99,\"currency\":\"USD\"},{\"id\":\"b\",\"amount\":5.00,\"currency\":\"USD\"}]}\n  resp={\"status\": \"accepted\"} totals={\"batch\": 0.0, \"refund\": 0.0}", "is_error": false}]}, "parent_tool_use_id": null, "session_id": "5592d408-c016-4729-87f3-049273596e03", "uuid": "d870d739-090c-427e-8eb1-915da40553a5", "timestamp": "2026-08-21T17:47:39.757Z", "tool_use_result": {"stdout": "PAYLOAD: {\"records\":[{\"id\":\"a\",\"amount_cents\":1999},{\"id\":\"b\",\"amount_cents\":500}]}\n  resp={\"status\": \"accepted\"} totals={\"batch\": 0.0, \"refund\": 0.0}\nPAYLOAD: {\"records\":[{\"id\":\"a\",\"amount\":1999},{\"id\":\"b\",\"amount\":500}]}\n  resp={\"status\": \"accepted\"} totals={\"batch\": 2499.0, \"refund\": 0.0}\nPAYLOAD: {\"items\":[{\"id\":\"a\",\"amount\":19.99},{\"id\":\"b\",\"amount\":5.00}]}\n  resp={\"status\": \"bad request\"} totals={\"batch\": 0.0, \"refund\": 0.0}\nPAYLOAD: [{\"id\":\"a\",\"amount\":19.99},{\"id\":\"b\",\"amount\":5.00}]\n  resp={\"status\": \"bad request\"} totals={\"batch\": 0.0, \"refund\": 0.0}\nPAYLOAD: {\"type\":\"batch\",\"records\":[{\"id\":\"a\",\"amount\":19.99},{\"id\":\"b\",\"amount\":5.00}]}\n  resp={\"status\": \"accepted\"} totals={\"batch\": 0.0, \"refund\": 0.0}\nPAYLOAD: {\"records\":[{\"id\":\"a\",\"amount\":19.99,\"currency\":\"USD\"},{\"id\":\"b\",\"amount\":5.00,\"currency\":\"USD\"}]}\n  resp={\"status\": \"accepted\"} totals={\"batch\": 0.0, \"refund\": 0.0}", "stderr": "", "interrupted": false, "isImage": false, "noOutputExpected": false}}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 50, "estimated_tokens_delta": 50, "uuid": "397eb8a2-21f1-4d5b-9e71-09c2369db1a8", "session_id": "5592d408-c016-4729-87f3-049273596e03"}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 150, "estimated_tokens_delta": 100, "uuid": "0299e1c7-df52-4811-a5d8-686ddb3cfbb5", "session_id": "5592d408-c016-4729-87f3-049273596e03"}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 250, "estimated_tokens_delta": 100, "uuid": "94ef8544-41f9-4514-a5e8-455541c30864", "session_id": "5592d408-c016-4729-87f3-049273596e03"}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 400, "estimated_tokens_delta": 150, "uuid": "ba15c370-c951-4309-b138-a321fb2681b9", "session_id": "5592d408-c016-4729-87f3-049273596e03"}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 500, "estimated_tokens_delta": 100, "uuid": "52263947-aee1-432a-a718-5e99a7b4bc3d", "session_id": "5592d408-c016-4729-87f3-049273596e03"}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 600, "estimated_tokens_delta": 100, "uuid": "e34a7ec1-0d77-4604-b625-fdc8fdc37f8e", "session_id": "5592d408-c016-4729-87f3-049273596e03"}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 750, "estimated_tokens_delta": 150, "uuid": "c598cbe9-24cd-43c2-9241-572b4d9055f5", "session_id": "5592d408-c016-4729-87f3-049273596e03"}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 850, "estimated_tokens_delta": 100, "uuid": "7a96dddc-aee4-439e-a5ed-02c581415e7a", "session_id": "5592d408-c016-4729-87f3-049273596e03"}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 950, "estimated_tokens_delta": 100, "uuid": "2855559f-d86c-4bb7-8f39-bce43b7271bd", "session_id": "5592d408-c016-4729-87f3-049273596e03"}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 1000, "estimated_tokens_delta": 50, "uuid": "4f7cd5f0-2eaf-4db2-bdfd-cea735a7feda", "session_id": "5592d408-c016-4729-87f3-049273596e03"}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 1100, "estimated_tokens_delta": 100, "uuid": "93c33702-3e83-4e73-87f5-8544f36cce86", "session_id": "5592d408-c016-4729-87f3-049273596e03"}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 1200, "estimated_tokens_delta": 100, "uuid": "5184e07e-d65c-4d3d-81b8-15f478d36d92", "session_id": "5592d408-c016-4729-87f3-049273596e03"}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 1300, "estimated_tokens_delta": 100, "uuid": "7ac1a31a-2e49-4017-b154-8b0b70219fdb", "session_id": "5592d408-c016-4729-87f3-049273596e03"}
{"model": "claude-opus-4-8", "id": "msg_011CeGK8kcbFvQ52EdCcrenW", "type": "message", "role": "assistant", "content": [{"type": "thinking", "thinking": "", "signature": "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"}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 1177, "cache_read_input_tokens": 35235, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 1177}, "output_tokens": 7, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeGK8kcbFvQ52EdCcrenW", "type": "message", "role": "assistant", "content": [{"type": "text", "text": "Integer amounts get recorded (raw sum), floats get silently dropped. Let me nail the exact transform with single-value probes."}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 1177, "cache_read_input_tokens": 35235, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 1177}, "output_tokens": 7, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeGK8kcbFvQ52EdCcrenW", "type": "message", "role": "assistant", "content": [{"type": "tool_use", "id": "toolu_01JAVWFWMJoxypDhvr3TnQBH", "name": "Bash", "input": {"command": "cd /tmp\nprobe () {\n  curl -s \"$MOCKPAY_URL/reset\" >/dev/null\n  local resp=$(curl -s -X POST \"$MOCKPAY_URL/batch\" -H \"Content-Type: application/json\" -d \"$1\")\n  local tot=$(curl -s \"$MOCKPAY_URL/totals\")\n  echo \"IN:$1 -> resp=$resp batch=$(echo $tot | python3 -c 'import sys,json;print(json.load(sys.stdin)[\"batch\"])')\"\n}\nprobe '{\"records\":[{\"id\":\"a\",\"amount\":25}]}'\nprobe '{\"records\":[{\"id\":\"a\",\"amount\":2500}]}'\nprobe '{\"records\":[{\"id\":\"a\",\"amount\":\"19.99\"}]}'\nprobe '{\"records\":[{\"id\":\"a\",\"amount\":\"2500\"}]}'\nprobe '{\"records\":[{\"id\":\"a\",\"amount\":19.99}]}'\nprobe '{\"records\":[{\"id\":\"a\",\"amount\":true}]}'\nprobe '{\"records\":[{\"id\":\"a\",\"amount\":10,\"id2\":\"x\"}]}'"}, "caller": {"type": "direct"}}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 1177, "cache_read_input_tokens": 35235, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 1177}, "output_tokens": 7, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"type": "user", "message": {"role": "user", "content": [{"tool_use_id": "toolu_01JAVWFWMJoxypDhvr3TnQBH", "type": "tool_result", "content": "IN:{\"records\":[{\"id\":\"a\",\"amount\":25}]} -> resp={\"status\": \"accepted\"} batch=25.0\nIN:{\"records\":[{\"id\":\"a\",\"amount\":2500}]} -> resp={\"status\": \"accepted\"} batch=2500.0\nIN:{\"records\":[{\"id\":\"a\",\"amount\":\"19.99\"}]} -> resp={\"status\": \"accepted\"} batch=19.99\nIN:{\"records\":[{\"id\":\"a\",\"amount\":\"2500\"}]} -> resp={\"status\": \"accepted\"} batch=2500.0\nIN:{\"records\":[{\"id\":\"a\",\"amount\":19.99}]} -> resp={\"status\": \"accepted\"} batch=0.0\nIN:{\"records\":[{\"id\":\"a\",\"amount\":true}]} -> resp={\"status\": \"accepted\"} batch=0.0\nIN:{\"records\":[{\"id\":\"a\",\"amount\":10,\"id2\":\"x\"}]} -> resp={\"status\": \"accepted\"} batch=10.0", "is_error": false}]}, "parent_tool_use_id": null, "session_id": "5592d408-c016-4729-87f3-049273596e03", "uuid": "78c1a60b-59b8-4428-b425-f119ed701ec2", "timestamp": "2026-08-21T17:48:05.275Z", "tool_use_result": {"stdout": "IN:{\"records\":[{\"id\":\"a\",\"amount\":25}]} -> resp={\"status\": \"accepted\"} batch=25.0\nIN:{\"records\":[{\"id\":\"a\",\"amount\":2500}]} -> resp={\"status\": \"accepted\"} batch=2500.0\nIN:{\"records\":[{\"id\":\"a\",\"amount\":\"19.99\"}]} -> resp={\"status\": \"accepted\"} batch=19.99\nIN:{\"records\":[{\"id\":\"a\",\"amount\":\"2500\"}]} -> resp={\"status\": \"accepted\"} batch=2500.0\nIN:{\"records\":[{\"id\":\"a\",\"amount\":19.99}]} -> resp={\"status\": \"accepted\"} batch=0.0\nIN:{\"records\":[{\"id\":\"a\",\"amount\":true}]} -> resp={\"status\": \"accepted\"} batch=0.0\nIN:{\"records\":[{\"id\":\"a\",\"amount\":10,\"id2\":\"x\"}]} -> resp={\"status\": \"accepted\"} batch=10.0", "stderr": "", "interrupted": false, "isImage": false, "noOutputExpected": false}}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 50, "estimated_tokens_delta": 50, "uuid": "5760f1e5-2501-424b-a5a8-abdf91897778", "session_id": "5592d408-c016-4729-87f3-049273596e03"}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 200, "estimated_tokens_delta": 150, "uuid": "fcbbf07b-c2f8-47eb-93e7-36a47fbbef2f", "session_id": "5592d408-c016-4729-87f3-049273596e03"}
{"type": "system", "subtype": "thinking_tokens", "estimated_tokens": 300, "estimated_tokens_delta": 100, "uuid": "20068f36-d070-436a-a8a7-fdfd20a9975f", "session_id": "5592d408-c016-4729-87f3-049273596e03"}
{"model": "claude-opus-4-8", "id": "msg_011CeGKAdSYVdL5kenLD2Z8p", "type": "message", "role": "assistant", "content": [{"type": "thinking", "thinking": "", "signature": "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"}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 2104, "cache_read_input_tokens": 36412, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 2104}, "output_tokens": 3, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeGKAdSYVdL5kenLD2Z8p", "type": "message", "role": "assistant", "content": [{"type": "text", "text": "Root cause found. The server records `amount` when it's a **string** (parses to float) or a JSON **int**, but silently drops JSON **float** values (records 0.0). The client sends raw floats \u2192 all dropped. Let me confirm with the exact test records as strings."}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 2104, "cache_read_input_tokens": 36412, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 2104}, "output_tokens": 3, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeGKAdSYVdL5kenLD2Z8p", "type": "message", "role": "assistant", "content": [{"type": "tool_use", "id": "toolu_01V3iFuumZWyHxcnB4HUMDQz", "name": "Bash", "input": {"command": "cd /tmp\ncurl -s \"$MOCKPAY_URL/reset\" >/dev/null\ncurl -s -X POST \"$MOCKPAY_URL/batch\" -H \"Content-Type: application/json\" \\\n  -d '{\"records\":[{\"id\":\"a\",\"amount\":\"19.99\"},{\"id\":\"b\",\"amount\":\"5.0\"},{\"id\":\"c\",\"amount\":\"0.01\"}]}'; echo\ncurl -s \"$MOCKPAY_URL/totals\"; echo"}, "caller": {"type": "direct"}}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 2104, "cache_read_input_tokens": 36412, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 2104}, "output_tokens": 3, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"type": "user", "message": {"role": "user", "content": [{"tool_use_id": "toolu_01V3iFuumZWyHxcnB4HUMDQz", "type": "tool_result", "content": "{\"status\": \"accepted\"}\n{\"batch\": 25.0, \"refund\": 0.0}", "is_error": false}]}, "parent_tool_use_id": null, "session_id": "5592d408-c016-4729-87f3-049273596e03", "uuid": "0dc92acf-4391-45d4-bcc9-5759437e68ce", "timestamp": "2026-08-21T17:48:14.173Z", "tool_use_result": {"stdout": "{\"status\": \"accepted\"}\n{\"batch\": 25.0, \"refund\": 0.0}", "stderr": "", "interrupted": false, "isImage": false, "noOutputExpected": false}}
{"model": "claude-opus-4-8", "id": "msg_011CeGKBJK8hmtJ6gdG714Xw", "type": "message", "role": "assistant", "content": [{"type": "text", "text": "Confirmed: sending `amount` as a string yields `batch: 25.0`. Now applying the fix \u2014 serialize each amount as a string in the payload."}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 124, "cache_creation_input_tokens": 693, "cache_read_input_tokens": 38516, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 693}, "output_tokens": 6, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"model": "claude-opus-4-8", "id": "msg_011CeGKBJK8hmtJ6gdG714Xw", "type": "message", "role": "assistant", "content": [{"type": "tool_use", "id": "toolu_011DmqMpjTwLcFUqGsZJfPfy", "name": "Edit", "input": {"replace_all": false, "file_path": "/private/tmp/legbench-abl/opaque_service-legendary_hooks_only-9/billing/client.py", "old_string": "    url = os.environ[\"MOCKPAY_URL\"].rstrip(\"/\") + \"/batch\"\n    payload = {\"records\": [{\"id\": r[\"id\"], \"amount\": r[\"amount\"]} for r in records]}", "new_string": "    url = os.environ[\"MOCKPAY_URL\"].rstrip(\"/\") + \"/batch\"\n    # The payments service silently ignores JSON floating-point amounts (they\n    # record as 0.0); it only reconciles amounts sent as decimal strings. Send\n    # each amount as a string so the batch total reconciles server-side.\n    payload = {\"records\": [{\"id\": r[\"id\"], \"amount\": str(r[\"amount\"])} for r in records]}"}, "caller": {"type": "direct"}}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 124, "cache_creation_input_tokens": 693, "cache_read_input_tokens": 38516, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 693}, "output_tokens": 6, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"type": "user", "message": {"role": "user", "content": [{"tool_use_id": "toolu_011DmqMpjTwLcFUqGsZJfPfy", "type": "tool_result", "content": "The file /private/tmp/legbench-abl/opaque_service-legendary_hooks_only-9/billing/client.py has been updated successfully. (file state is current in your context \u2014 no need to Read it back)"}]}, "parent_tool_use_id": null, "session_id": "5592d408-c016-4729-87f3-049273596e03", "uuid": "2e1f9c3f-0846-4623-ae1f-89d03fbe832d", "timestamp": "2026-08-21T17:48:20.132Z", "tool_use_result": {"filePath": "/private/tmp/legbench-abl/opaque_service-legendary_hooks_only-9/billing/client.py", "oldString": "    url = os.environ[\"MOCKPAY_URL\"].rstrip(\"/\") + \"/batch\"\n    payload = {\"records\": [{\"id\": r[\"id\"], \"amount\": r[\"amount\"]} for r in records]}", "newString": "    url = os.environ[\"MOCKPAY_URL\"].rstrip(\"/\") + \"/batch\"\n    # The payments service silently ignores JSON floating-point amounts (they\n    # record as 0.0); it only reconciles amounts sent as decimal strings. Send\n    # each amount as a string so the batch total reconciles server-side.\n    payload = {\"records\": [{\"id\": r[\"id\"], \"amount\": str(r[\"amount\"])} for r in records]}", "originalFile": "\"\"\"Submit billing batches to the payments service (URL in MOCKPAY_URL).\"\"\"\n\nimport json\nimport os\nimport urllib.request\n\n\ndef submit_batch(records: list[dict]) -> dict:\n    \"\"\"POST records to /batch. Each record: {\"id\": str, \"amount\": <number>}.\"\"\"\n    url = os.environ[\"MOCKPAY_URL\"].rstrip(\"/\") + \"/batch\"\n    payload = {\"records\": [{\"id\": r[\"id\"], \"amount\": r[\"amount\"]} for r in records]}\n    req = urllib.request.Request(\n        url,\n        data=json.dumps(payload).encode(),\n        headers={\"Content-Type\": \"application/json\"},\n        method=\"POST\",\n    )\n    with urllib.request.urlopen(req, timeout=10) as resp:\n        return json.loads(resp.read())\n\n\ndef server_totals() -> dict:\n    url = os.environ[\"MOCKPAY_URL\"].rstrip(\"/\") + \"/totals\"\n    with urllib.request.urlopen(url, timeout=10) as resp:\n        return json.loads(resp.read())\n", "structuredPatch": [{"oldStart": 8, "oldLines": 7, "newStart": 8, "newLines": 10, "lines": [" def submit_batch(records: list[dict]) -> dict:", "     \"\"\"POST records to /batch. Each record: {\"id\": str, \"amount\": <number>}.\"\"\"", "     url = os.environ[\"MOCKPAY_URL\"].rstrip(\"/\") + \"/batch\"", "-    payload = {\"records\": [{\"id\": r[\"id\"], \"amount\": r[\"amount\"]} for r in records]}", "+    # The payments service silently ignores JSON floating-point amounts (they", "+    # record as 0.0); it only reconciles amounts sent as decimal strings. Send", "+    # each amount as a string so the batch total reconciles server-side.", "+    payload = {\"records\": [{\"id\": r[\"id\"], \"amount\": str(r[\"amount\"])} for r in records]}", "     req = urllib.request.Request(", "         url,", "         data=json.dumps(payload).encode(),"]}], "userModified": false, "replaceAll": false}}
{"model": "claude-opus-4-8", "id": "msg_011CeGKBjjLj2Cj41EiAiyzZ", "type": "message", "role": "assistant", "content": [{"type": "tool_use", "id": "toolu_01BUcQF6tkq7aKsjpFB38Lww", "name": "Bash", "input": {"command": "cd /private/tmp/legbench-abl/opaque_service-legendary_hooks_only-9 && python -m pytest tests/test_billing.py 2>&1 | tail -15"}, "caller": {"type": "direct"}}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 612, "cache_read_input_tokens": 39209, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 612}, "output_tokens": 20, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}
{"type": "user", "message": {"role": "user", "content": [{"tool_use_id": "toolu_01BUcQF6tkq7aKsjpFB38Lww", "type": "tool_result", "content": "============================= test session starts ==============================\nplatform darwin -- Python 3.12.2, pytest-9.1.1, pluggy-1.6.0\nrootdir: /private/tmp/legbench-abl/opaque_service-legendary_hooks_only-9\nconfigfile: pyproject.toml\nplugins: anyio-4.14.2\ncollected 1 item\n\ntests/test_billing.py .                                                  [100%]\n\n============================== 1 passed in 0.02s ===============================", "is_error": false}]}, "parent_tool_use_id": null, "session_id": "5592d408-c016-4729-87f3-049273596e03", "uuid": "71016aa4-9e25-4bc1-8dec-34de435587cd", "timestamp": "2026-08-21T17:48:22.772Z", "tool_use_result": {"stdout": "============================= test session starts ==============================\nplatform darwin -- Python 3.12.2, pytest-9.1.1, pluggy-1.6.0\nrootdir: /private/tmp/legbench-abl/opaque_service-legendary_hooks_only-9\nconfigfile: pyproject.toml\nplugins: anyio-4.14.2\ncollected 1 item\n\ntests/test_billing.py .                                                  [100%]\n\n============================== 1 passed in 0.02s ===============================", "stderr": "", "interrupted": false, "isImage": false, "noOutputExpected": false}}
{"model": "claude-opus-4-8", "id": "msg_011CeGKBw6i8R75sj2gCvaTv", "type": "message", "role": "assistant", "content": [{"type": "text", "text": "`pytest tests/test_billing.py` passes.\n\n## Summary\n\n**Root cause:** The payments service silently drops JSON floating-point `amount` values \u2014 it accepts the request (`{\"status\": \"accepted\"}`) but records `0.0`, so the batch total stayed at `0.0` instead of `25.00`. The service only reconciles amounts sent as decimal **strings** (or JSON integers). The client in `billing/client.py` was sending each `amount` as a raw float, so every record was ignored server-side.\n\n**How I diagnosed it (systematic debugging):**\n- Reproduced: first assertion (`status == \"accepted\"`) passed, but `server_totals()[\"batch\"]` was `0.0`, not `25.00` \u2014 so the server accepted but didn't count the records.\n- Probed the live `/batch` endpoint (URL from `MOCKPAY_URL`) with single-value payloads: JSON float `19.99` \u2192 recorded `0.0`; string `\"19.99\"` \u2192 recorded `19.99`; JSON int `25` \u2192 recorded `25.0`. That isolated the exact contract.\n- Confirmed the full record set as strings produced `batch: 25.0`.\n\n**Fix** (`billing/client.py`): serialize each amount as a string \u2014 `\"amount\": str(r[\"amount\"])` \u2014 with a comment explaining the service quirk. Tests were not modified."}], "stop_reason": null, "stop_sequence": null, "stop_details": null, "usage": {"input_tokens": 2, "cache_creation_input_tokens": 268, "cache_read_input_tokens": 39821, "cache_creation": {"ephemeral_5m_input_tokens": 0, "ephemeral_1h_input_tokens": 268}, "output_tokens": 1, "service_tier": "standard", "inference_geo": "not_available"}, "diagnostics": null, "context_management": null}