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genpark-dead-code-unreachable-ast-pruner-skill

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    • A
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      Enables AI coding agents and other MCP clients to interrogate a repository — or a frontend and backend pair — returning a single JSON document of findings such as which calls reach which routes, what is dead, and where to refactor first. Exposes tools like analyze_repo, cross_repo, check_endpoint, and check_coverage, along with contract resources for authoring adapters and rule packs, entirely over local stdio with no network access.
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    • F
      license
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      quality
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      maintenance
      Enables coding agents to run deterministic, zero-dependency AST static analysis over source code, building call graphs and dependency metrics to find orphaned functions, unreachable methods, breaking API surface diffs, and token-bloat clusters, then return a structured refactoring plan. It plugs into MCP clients like Claude Desktop, Cursor, and Windsurf via a single Python entrypoint.
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    • A
      license
      A
      quality
      C
      maintenance
      Enables AI coding agents to query a compiled typed symbol graph over MCP, revealing real callers, callees, blast radius, data flow, constraints, dead code, and commit-history signals before editing. Supports repo syncing and ranked context retrieval so agents can avoid structural regressions.
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    • A
      license
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      MCP server for persistent code exploration and diff-aware review, exposing explore and review tools to map call paths, blast radius, and generate explainable risk-scored reports.
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    • A
      license
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      quality
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      Enables proof-backed code audit via MCP tools for AST-based code maps, symbol lookup, callers, audit commands, and persistent verdict memory.
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