# RAG Code Search Agent

> RAG Code Search Agent — pratishank05-rag-code-search. Use this tool when you need to efficiently search and retrieve specific code snippets from large indexed codebases using natural language queries. It solves problems related to code discovery, reuse, and maintenance by providing relevant results with source citations. The agent takes in natural language inputs and outputs relevant code snippets with corresponding source information.

Canonical page: https://skillsregistry.net/skills/pratishank05-rag-code-search  
JSON: https://api.skillsregistry.net/v1/skills/pratishank05-rag-code-search

## Description

Enables natural language search over indexed codebases with source citations and incremental indexing.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/aeht6ha4kc)
- **Repository:** <https://github.com/pratishank05/rag-code-search>

## 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": "pratishank05-rag-code-search"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pratishank05-rag-code-search` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pratishank05-rag-code-search/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