I will run a search to find existing python test files in the workspace so we can check for any tests covering the sprint-plan command or similar commands.
### ftl_project_expert/cli.py
VERDICT: CONCERN
CORRECTNESS: VALID
SPEC_COMPLIANCE: MEETS
ISSUE_COMPLIANCE: ADDRESSES
BELIEF_COMPLIANCE: N/A
TEST_COVERAGE: UNTESTED
INTEGRATION: WIRED
REASONING: 
1. **Performance Concern**: In `_format_backlog_section`, there is a nested $O(N \times M)$ search loop matching every cached issue ID against every gating analysis node text. On large belief networks (e.g., 10,800+ nodes), compiling and evaluating individual regexes for each issue ID sequentially can cause a severe bottleneck. Combining all IDs into a single regex union (e.g., `\b(ID1|ID2|ID3)\b`) would leverage the optimized C-based regex engine and reduce matching time to $O(N)$ with respect to issue IDs.
2. **False Positive Matching**: The boundary-matching logic `\b` + `escape(cid)` + `\b` can trigger false matches. For example, if an issue ID is the integer `"71"`, and the node text contains `"GL-71"`, the pattern `\b71\b` matches successfully because the hyphen `-` is a non-word character and acts as a boundary. This can incorrectly associate unrelated numerical issue IDs with project-prefixed IDs or general numbers in the text.
3. **No Tests**: The command and its critical logic helpers (`_compute_gating_analysis`, `_compute_team_signals`, and `_format_backlog_section`) are completely untested. No unit or integration tests were added in this PR.
4. **Timezone Math Robustness**: The timezone conversion in `_compute_team_signals` (`closed_dt.replace(tzinfo=None)`) is highly robust. By stripping the UTC timezone before subtracting from `datetime.now()`, it avoids offset-naive vs. offset-aware type errors.

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### ftl_project_expert/prompts/__init__.py
VERDICT: PASS
CORRECTNESS: VALID
SPEC_COMPLIANCE: N/A
ISSUE_COMPLIANCE: ADDRESSES
BELIEF_COMPLIANCE: N/A
TEST_COVERAGE: UNTESTED
INTEGRATION: WIRED
REASONING: The prompt function is correctly imported and re-exported in the module interface, making it easily discoverable and keeping the imports clean.

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### ftl_project_expert/prompts/sprint_plan.py
VERDICT: PASS
CORRECTNESS: VALID
SPEC_COMPLIANCE: MEETS
ISSUE_COMPLIANCE: ADDRESSES
BELIEF_COMPLIANCE: N/A
TEST_COVERAGE: UNTESTED
INTEGRATION: WIRED
REASONING: The prompt structure is comprehensive, professional, and well-designed for a Senior EM persona. It explicitly requires grounding decisions in issue IDs, team capacity, and belief network context, preventing model hallucinations while directing the LLM to output the exact structured sections requested in the specification.

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### SELF_REVIEW
LIMITATIONS:
- Could not run local tests because shell execution was restricted/denied by policy.
- Verified file existence and directory layout based strictly on the static session context and tree structure.

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### FEATURE_REQUESTS
- Provide execution capability for running pytest or similar test suites directly via the review framework.
- Include the exact dependency-injection model used by the LLM client in observations to better verify prompt payload formatting.
