Adds the unified_review MCP prompt (invoked as /code-review-graph:unified_review) that drives the unified-review workflow: graph context -> detect_changes -> score_review -> findings -> dedupe_findings -> generate_report. READ-ONLY: every finding waits for a manual fix decision. Takes base and tier (fast/standard/strict) arguments. - prompts.py: unified_review_prompt + docstring count 5->6 - main.py: @mcp.prompt() registration - tests/test_prompts.py: TestUnifiedReviewPrompt + preamble test - docs: LLM-OPTIMIZED-REFERENCE, COMMANDS, CLAUDE.md, INDEX, architecture, README + 4 localized READMEs; tool count 30->31 and prompt count 5->6 synced (historical ROADMAP/FEATURES version notes left unchanged)
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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, 6 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