I will check the workspace for any existing tests and run them to see if the project's current tests pass and if any tests have been added for the new command.
I will search for the definition of the `Issue` class to see its fields and understand how issue IDs are represented.
I will attempt to print the contents of `models.py` where the `Issue` model is defined, to see how issue keys or IDs are handled.
### ftl_project_expert/cli.py:_compute_gating_analysis
VERDICT: CONCERN
CORRECTNESS: QUESTIONABLE
SPEC_COMPLIANCE: MEETS
ISSUE_COMPLIANCE: ADDRESSES
BELIEF_COMPLIANCE: N/A
TEST_COVERAGE: UNTESTED
INTEGRATION: WIRED
REASONING: 
1. **Performance Scaling**: The helper uses a breadth-first search (`_transitive_count`) to compute the transitive closure of dependents for every single node in the dependency map. While mathematically correct and cycle-safe (via `visited`), its worst-case complexity is $O(V \cdot (V + E))$ where $V$ is the number of nodes and $E$ is the number of dependency edges. For large networks (such as the 10,800+ node network mentioned in the issue context), this graph traversal performed on every node could cause a severe performance bottleneck. This directly relates to the scaling concerns cited in the issue (e.g., issue #8 "summary fails on large networks"). Implementing a memoized or dynamic programming approach to cache transitive counts would prevent redundant traversals.
2. **Test Coverage**: The function is completely untested.
---

### ftl_project_expert/cli.py:_compute_team_signals
VERDICT: CONCERN
CORRECTNESS: QUESTIONABLE
SPEC_COMPLIANCE: N/A
ISSUE_COMPLIANCE: ADDRESSES
BELIEF_COMPLIANCE: N/A
TEST_COVERAGE: UNTESTED
INTEGRATION: WIRED
REASONING: 
1. **Field Name Conventions**: The helper relies on `issue.get("closed")` to find when an issue was closed. In standard GitLab/GitHub API schemas, this field is typically `closed_at`. If `closed` returns `None`, the code falls back to `issue.get("updated")` (typically `updated_at` on these platforms). Fallback to `updated` could lead to issues closed long ago being flagged as "recently closed" if they were recently commented on or updated.
2. **GitLab Assignee Identifier**: In GitLab, assignee dictionary payloads use `"username"` rather than `"login"` (which is GitHub-specific). The code checks `assignee.get("login", assignee.get("name", "unknown"))`. If a GitLab assignee has no `"name"` but has a `"username"`, it will fall back to `"unknown"`, incorrectly merging metrics for multiple users under a single `"unknown"` key.
3. **Test Coverage**: No unit tests exist for this parsing and aggregation logic.
---

### ftl_project_expert/cli.py:_format_backlog_section
VERDICT: CONCERN
CORRECTNESS: QUESTIONABLE
SPEC_COMPLIANCE: N/A
ISSUE_COMPLIANCE: ADDRESSES
BELIEF_COMPLIANCE: N/A
TEST_COVERAGE: UNTESTED
INTEGRATION: WIRED
REASONING: 
1. **ID/Key Mismatch**: The function compares `issue_id = str(issue.get("id", ""))` against `gating_ids` (which come from the belief network node IDs). In standard GitHub and GitLab schemas, `id` is an internal database integer (e.g., `1293810293`), whereas the belief network node IDs typically use user-facing keys or numbers (e.g., `GL-71`, `GH-45`). This means `refs_in_beliefs` will likely evaluate to `False` for all issues on these platforms, resulting in incorrect sorting and omission of gated status.
2. **Field Names**: Uses `issue.get("updated")` instead of `updated_at`.
3. **Test Coverage**: Completely untested.
---

### ftl_project_expert/cli.py:sprint_plan
VERDICT: CONCERN
CORRECTNESS: VALID
SPEC_COMPLIANCE: MEETS
ISSUE_COMPLIANCE: ADDRESSES
BELIEF_COMPLIANCE: N/A
TEST_COVERAGE: UNTESTED
INTEGRATION: WIRED
REASONING: 
The command is well-structured and properly integrated into the Click CLI. It correctly loads configuration, checks model availability, handles the `--dry-run` flag, formats the required sections, invokes the LLM via `asyncio.run(invoke(...))` (maintaining consistency with the existing `summary` command), creates a structured entry via `_create_entry`, and outputs the result. The concern is the total lack of unit or integration tests for this brand-new CLI command.
---

### ftl_project_expert/prompts/__init__.py
VERDICT: PASS
CORRECTNESS: VALID
SPEC_COMPLIANCE: MEETS
ISSUE_COMPLIANCE: ADDRESSES
BELIEF_COMPLIANCE: N/A
TEST_COVERAGE: N/A
INTEGRATION: WIRED
REASONING: 
Correctly imports `build_sprint_plan_prompt` and exposes it in `__all__`, making it properly discoverable for consumers like `cli.py`.
---

### ftl_project_expert/prompts/sprint_plan.py
VERDICT: PASS
CORRECTNESS: VALID
SPEC_COMPLIANCE: MEETS
ISSUE_COMPLIANCE: ADDRESSES
BELIEF_COMPLIANCE: N/A
TEST_COVERAGE: N/A
INTEGRATION: WIRED
REASONING: 
The prompt template is extremely well-designed, highly descriptive, and instructs the LLM on exactly how to format the five requested output sections (Sprint Goal, Prioritized Backlog, Assignment Recommendations, Escalation Flags, Risk Summary). It effectively utilizes the structured input data from both the issue cache and the belief network.
---

### SELF_REVIEW
LIMITATIONS: 
- Shell execution was denied by policy, so I was unable to verify the exact schema of the issue cache files (e.g., `issues-cache.json`) to confirm whether the issue objects normalize key names (like `id` vs. `key` vs. `iid` and `closed` vs. `closed_at`).
- No test files were included in the workspace directories or diffs, so I could not verify any existing test assertions.
---

### FEATURE_REQUESTS
- Include sample cache files or schema definitions (like a mock `issues-cache.json`) in the context or observations to let reviewers check field name mappings.
- Provide callers/definitions of the source classes (`GitLabSource`, `GitHubSource`) to allow precise verification of fields extracted from third-party APIs.
