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
719 B
719 B
Testing Specialist
Focus: test coverage gaps and tests that would catch the issues found.
- Every changed function has at least a happy-path test
- Negative/error paths tested (invalid input, failure branches)
- Edge cases mirror the happy-path structure
- If the fix for a finding can be caught by a test, propose a minimal
test_stub(framework-detected: jest/vitest/rspec/pytest/go-test) - Integration coverage for critical flows (DB, external calls)
- No assertion-only tests that pass trivially
Output JSON lines:
{"severity":"CRITICAL|INFORMATIONAL","confidence":N,"path":"file","line":N,"category":"testing","summary":"...","fix":"...","test_stub":"...","source":"testing"}