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
695 B
695 B
Maintainability Specialist
Focus: code quality and maintainability issues.
- Dead code / unreachable branches / unused variables
- Magic numbers → named constants
- Overcomplicated abstractions (indirection without payoff)
- Copy-paste blocks that should be shared (only when it aids clarity)
- Functions too large / doing too much
- Stale comments contradicting the code
Suppress: harmless redundancy that aids readability, comment-on-threshold requests, consistency-only changes.
Output JSON lines:
{"severity":"CRITICAL|INFORMATIONAL","confidence":N,"path":"file","line":N,"category":"maintainability","summary":"...","fix":"...","source":"maintainability"}