# srag

> srag — wrxck-srag. Use this tool when you need to efficiently search and manage semantic code, integrate with IDEs, or detect prompt injection. It solves problems related to code organization, secret protection, and malicious prompt detection, taking in code repositories as input and outputting relevant search results. Ideal for use in development environments, particularly with git repositories.

Canonical page: https://skillsregistry.net/skills/wrxck-srag  
JSON: https://api.skillsregistry.net/v1/skills/wrxck-srag

## Description

Semantic code search and RAG system written in Rust with tree-sitter chunking, MCP server for IDE integration, prompt injection detection, and secret redaction

## Trust

- **Trust score (0–1):** 0.33
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** GPL-3.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/wrxck/srag)

## 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": "wrxck-srag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wrxck-srag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wrxck-srag/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