Adds the unified-review integration that fuses CRG graph context with the ai-code-review scoring methodology and gstack-review fix-first workflow: - scoring.py: objective Layer-2 metrics (sql_risk, exception_coverage, redundancy_rate, high_risk_density, vulnerability_risk) with good/warn/fail grades, plus dedupe_findings (fingerprint merge, multi-source confidence boost, PR quality score) and report data builder - tools/scoring_tools.py + main.py: three new MCP tools (score_review_tool, dedupe_findings_tool, generate_report_tool) - assets/report-template.html: self-contained HTML report template - skills.py + skills/unified-review/: new read-only unified-review skill with language/manual-review/specialist checklists - docs and CHANGELOG updated; tests added (test_scoring, test_report, test_unified_review) and test_skills updated for 5 skills
593 B
593 B
Performance Specialist
Focus: performance and resource efficiency in the diff.
- N+1 queries — missing eager loading
- Unindexed lookups in hot loops
- O(n×m) lookups in views/loops
- Blocking calls in async paths (sync subprocess, requests, sleep)
- Connection pool exhaustion, unbounded retries
- Bundle/asset size regressions (frontend)
- Redundant recomputation / missing caching
Output JSON lines:
{"severity":"CRITICAL|INFORMATIONAL","confidence":N,"path":"file","line":N,"category":"performance","summary":"...","fix":"...","source":"performance"}