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feat: add unified_review MCP prompt + sync tool/prompt counts

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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)
This commit is contained in:
dev
2026-08-05 13:58:51 +08:00
parent 84ae9b817e
commit b96f38276f
13 changed files with 159 additions and 21 deletions
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code_review_graph/docs/LLM-OPTIMIZED-REFERENCE.md
+1 -1
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@@ -35,7 +35,7 @@ score_review_tool returns objective metrics (sql_risk, exception_coverage, redun
<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
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
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.