# code-rag-golang

> Use this tool when you need to ensure accurate and comprehensive code updates, particularly after AI-modified functions. It solves the problem of missed caller updates by building precise call graphs via static analysis, providing a clear interface of affected code areas as input and a detailed update plan as output. This tool is ideal for use in code refinement and maintenance contexts where AI-driven changes are made.

Canonical page: https://skillsregistry.net/skills/nullptr-z-code-rag-golang  
JSON: https://api.skillsregistry.net/v1/skills/nullptr-z-code-rag-golang

## Description

AI modifies a function but misses 5 callers that also need updating. crag fixes this — it builds precise call graphs via static analysis, so AI knows exactly what's affected before making changes.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/eu5o5v1d8b)
- **Repository:** <https://github.com/nullptr-z/code-rag-golang>

## 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": "nullptr-z-code-rag-golang"
    }
  }
}
```

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