# genpark-codebase-dead-code-unreachable-pruner-skill

> genpark-codebase-dead-code-unreachable-pruner-skill — alpha-park-genpark-codebase-dead-code-unreachable-pruner-skill. Use this tool when you need to optimize codebases by removing dead code and unreachable methods, solving problems of code bloat and maintenance inefficiency. It analyzes Abstract Syntax Trees (ASTs) and call graphs to identify orphaned functions and token-bloat clusters, providing inputs of code repositories and outputs of refined, leaner codebases. Ideal for use in git-based development workflows to streamline code and reduce technical debt.

Canonical page: https://skillsregistry.net/skills/alpha-park-genpark-codebase-dead-code-unreachable-pruner-skill  
JSON: https://api.skillsregistry.net/v1/skills/alpha-park-genpark-codebase-dead-code-unreachable-pruner-skill

## Description

AST-level static call-graph analyzer and dead code pruner identifying orphaned functions, unreachable methods, and token-bloat clusters.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-27

## Source

- **Source listing:** [GitHub](https://github.com/Alpha-Park/genpark-codebase-dead-code-unreachable-pruner-skill)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "alpha-park-genpark-codebase-dead-code-unreachable-pruner-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-codebase-dead-code-unreachable-pruner-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-codebase-dead-code-unreachable-pruner-skill/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt