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feat: add unified-review workflow (scoring tools + skill)

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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
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2026-08-05 13:31:55 +08:00
parent 82b7c6dc9e
commit 84ae9b817e
32 changed files with 2229 additions and 19 deletions
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code_review_graph/docs/LLM-OPTIMIZED-REFERENCE.md
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@@ -24,10 +24,19 @@ Fetch PR diff -> detect_changes_tool -> get_affected_flows_tool -> structured re
Never include full files unless explicitly asked.
</section>
<section name="unified-review">
Full three-layer review: 1) get_minimal_context_tool + build_or_update_graph_tool + get_review_context_tool + detect_changes_tool for graph context; 2) Layer-1 chain decomposition across 8 categories + gstack CRITICAL sub-pass; 3) score_review_tool for objective Layer-2 metrics; 4) specialist subagents (diff >= 50 lines); 5) dedupe_findings_tool to merge; 6) READ-ONLY manual adjudication per severity; 7) generate_report_tool to write code-review-report.html. Read .code-review.yaml for tier (fast/standard/strict). Target: <=8 tool calls, <=1200 tokens.
</section>
<section name="score-review">
score_review_tool returns objective metrics (sql_risk, exception_coverage, redundancy_rate, high_risk_density, vulnerability_risk) with good/warn/fail grades + llm_judged list. dedupe_findings_tool merges findings by path:line:category fingerprint, boosts multi-source confidence (+1 cap 10), computes PR quality score. generate_report_tool writes the standalone HTML report.
</section>
<section name="commands">
Core MCP tools: get_minimal_context_tool, detect_changes_tool, get_review_context_tool, get_impact_radius_tool, query_graph_tool, semantic_search_nodes_tool, get_architecture_overview_tool, get_affected_flows_tool, list_flows_tool, list_communities_tool, refactor_tool, build_or_update_graph_tool, run_postprocess_tool, embed_graph_tool, list_graph_stats_tool, get_docs_section_tool
Unified-review MCP tools: score_review_tool, dedupe_findings_tool, generate_report_tool
MCP prompts (5): review_changes, architecture_map, debug_issue, onboard_developer, pre_merge_check
Skills: build-graph, debug-issue, explore-codebase, refactor-safely, review-changes, review-delta, review-pr
Skills: build-graph, debug-issue, explore-codebase, refactor-safely, review-changes, review-delta, review-pr, unified-review
CLI: code-review-graph [install|init|build|update|status|watch|visualize|serve|mcp|wiki|detect-changes|postprocess|embed|register|unregister|repos|eval|daemon]
Token efficiency: Prefer detail_level="minimal" where available. Always call get_minimal_context_tool first. Some review/context tools return compact estimated context_savings metadata.
</section>