feat: add project-review workflow (whole-project / single-feature review)
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
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@@ -27,7 +27,7 @@ $ARGUMENTS
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7. **Merge findings** by calling `dedupe_findings_tool(findings=<your findings>)` — fingerprint dedup, multi-source confidence boost, PR quality score.
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8. **Generate the report** by calling `generate_report_tool(review_data=<verdict, tier, scope, metrics, merged findings>)` — writes `code-review-report.html`.
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8. **Generate the report** by calling `generate_report_tool(review_data=<verdict, tier, scope, metrics, merged findings>)` — writes `code-review-report.html` and `code-review-report.md` (default `format="both"`).
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9. **Report** the verdict (✅ PASS / ❌ FAIL), severity counts, each issue with confidence + fix, and manual-review items.
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