review-skill-improver

# Review Skill Improver ## Purpose Analyzes structured feedback logs to: 1. Identify rules that produce false positives (high REJECT rate) 2. Identify missing rules (issues that should have been caught) 3. Suggest specific skill modifications ## Input Feedback log in enhanced schema format (see `review-feedback-schema` skill). ## Hard gates Run in order; do not emit the final **Review Skill Improvement Report** until each gate passes. 1. **Input on record** — The log is loaded from a stated path in the repo or from an attached artifact, not from memory or paraphrase. **Pass:** the report header or Summary names that path or states “attached feedback blob” with byte/line count. 2. **Schema / shape** — Entries match the enhanced schema (`rule_source`, `verdict`, `rationale`, etc. per `review-feedback-schema`). **Pass:** either all rows parse, or skipped malformed rows are counted and listed by row index (not silently dropped). 3. **Aggregation before thresholds** — Complete Step 1 (per–`rule_source` totals, ACCEPT vs REJECT, rejection rate, rejection rationales) for the full parsed set before labeling any rule “high-rejection” or writing recommendations. **Pass:** Summary includes “Unique rules triggered” consistent with the aggregation table. 4. **Evidence-bound recommendations** — Every recommendation includes at least one concrete evidence pointer (log row(s), or file:line + short quote) before **Proposed Fix**. **Pass:** **Evidence** is non-empty for each recommendat...