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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Documentation Index
- USAGE.md -- How to install and use
- FAQ.md -- How it compares to LSP, RAG, grep, and similar tools; when not to use it
- FEATURES.md -- What's included, changelog
- COMMANDS.md -- All 31 MCP tools, 7 MCP prompts, skills, and CLI commands
- GITHUB_ACTION.md -- Risk-scored PR review comments via GitHub Actions
- CUSTOM_LANGUAGES.md -- Bring your own language via
.code-review-graph/languages.toml - LLM-OPTIMIZED-REFERENCE.md -- Token-optimized reference for MCP-capable AI coding agents
- architecture.md -- System design and data flow
- schema.md -- Graph node/edge schema, SQLite tables (including flows, communities, FTS5)
- TROUBLESHOOTING.md -- Common issues and fixes (including Windows/WSL)
- REPRODUCING.md -- Reproducing every benchmark number (pinned SHAs, seeded runs, tokenizer calibration)
- ROADMAP.md -- Shipped and planned features
- LEGAL.md -- License and privacy