# tree-worm

> Use this tool when you need to analyze and understand the structure of a codebase, and solve problems like code navigation, semantic search, and symbol relationship mapping. It takes in code repositories as input and outputs a structural understanding of the code, allowing AI agents to reason about it privately and independently. Ideal for use cases where local code intelligence and zero cloud dependency are required.

Canonical page: https://skillsregistry.net/skills/andmev-tree-worm  
JSON: https://api.skillsregistry.net/v1/skills/andmev-tree-worm

## Description

Local code intelligence system that gives AI agents structural understanding of codebase. It uses Tree-sitter to parse ASTs, FAISS for semantic search, and a call graph engine to map symbol          │ relationships. Exposed as an MCP server, it lets any IDE or AI tool search, navigate, and reason about code privately, with zero cloud dependency

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/andmev/tree-worm)

## 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": "andmev-tree-worm"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/andmev-tree-worm` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/andmev-tree-worm/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