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feat: add project-review workflow (whole-project / single-feature review)

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Adds the project-review workflow for code review independent of the git
diff. The scope is parsed from the user instruction: 全面/整个项目 ->
whole-project (score every source file), otherwise feature + target
keyword (locate the code with semantic search + graph queries).

- scoring_tools.py: score_review_func gains all_files=True to score every
  source file in the graph via store.get_all_files()
- main.py: score_review_tool gains all_files param; registers the
  project_review MCP prompt (prompts 6->7)
- prompts.py: project_review_prompt(scope, target) with whole-project and
  feature branches (fixed a precedence bug that truncated the feature text)
- skills.py + skills/project-review/: new read-only project-review skill
  with shared checklists
- .opencode/command/code-review-graph-project-review.md: slash command
- tests: test_project_review.py (prompt rendering), TestProjectReviewPrompt,
  skill count assertions 5->6, all_files wiring checks
- docs: prompts (6->7) + project-review entries across COMMANDS, CLAUDE,
  README (+localized), INDEX, architecture, LLM-OPTIMIZED-REFERENCE,
  CHANGELOG
This commit is contained in:
dev
2026-08-06 13:56:54 +08:00
parent 6f0e6f0775
commit 307d2fd471
45 changed files with 1339 additions and 131 deletions
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code_review_graph/docs/LLM-OPTIMIZED-REFERENCE.md
+8 -4
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@@ -25,18 +25,22 @@ 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.
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 + code-review-report.md. Read .code-review.yaml for tier (fast/standard/strict). Target: <=8 tool calls, <=1200 tokens.
</section>
<section name="project-review">
Whole-project or feature review (not diff-based): 1) get_minimal_context_tool + build_or_update_graph_tool; 2) get_architecture_overview_tool + list_communities_tool for the module map; 3) get_knowledge_gaps_tool + get_hub_nodes_tool + get_bridge_nodes_tool + find_large_functions_tool + get_surprising_connections_tool for high-risk areas; 4) whole-project: score_review_tool(all_files=True); feature: semantic_search_nodes_tool + query_graph_tool(children_of) to locate files, then score_review_tool(changed_files) + get_impact_radius_tool; 5) dedupe_findings_tool; 6) READ-ONLY adjudication; 7) generate_report_tool (format=both). Parse scope from the user instruction (全面/整个项目 -> whole-project, else feature + target). Target: <=12 tool calls, <=1800 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.
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. Pass all_files=True to score every source file (whole-project review). 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 HTML and/or Markdown review report (format=both by default).
</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 (6): review_changes, architecture_map, debug_issue, onboard_developer, pre_merge_check, unified_review
Skills: build-graph, debug-issue, explore-codebase, refactor-safely, review-changes, review-delta, review-pr, unified-review
MCP prompts (7): review_changes, architecture_map, debug_issue, onboard_developer, pre_merge_check, unified_review, project_review
Skills: build-graph, debug-issue, explore-codebase, refactor-safely, review-changes, review-delta, review-pr, unified-review, project-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>