# cindex

> cindex — aarontrmartin-code-indexer. Use this tool when you need to perform efficient and private code searches within a local codebase, leveraging tree-sitter AST indexing and GGUF embeddings to identify relevant code snippets without relying on network calls or API keys. It solves problems related to offline code discovery, reuse, and maintenance, enabling coding agents to quickly find specific code patterns or functionality. Ideal for use cases where security, speed, and autonomy are crucial, such as in offline development environments or sensitive projects.

Canonical page: https://skillsregistry.net/skills/aarontrmartin-code-indexer  
JSON: https://api.skillsregistry.net/v1/skills/aarontrmartin-code-indexer

## Description

Provides a search_code tool for coding agents to perform local, offline semantic code search on a tree-sitter AST indexed codebase using GGUF embeddings, with no network calls or API keys.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bhwu9jta4u)
- **Repository:** <https://github.com/aarontrmartin/code-indexer>

## 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": "aarontrmartin-code-indexer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aarontrmartin-code-indexer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aarontrmartin-code-indexer/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