# rfc-rag

> rfc-rag — mirusser-rfc-rag. Use this tool when you need to search and retrieve relevant RFCs (Request for Comments) using semantic search and filtering by normative keywords. It solves problems of information overload and precise document retrieval, providing accurate answers to specific queries. The tool takes in search queries as input and outputs relevant RFCs, making it ideal for use cases where standardized technical documentation is required.

Canonical page: https://skillsregistry.net/skills/mirusser-rfc-rag  
JSON: https://api.skillsregistry.net/v1/skills/mirusser-rfc-rag

## Description

Ask RFCs, get answers: pgvector-powered semantic search with RFC 2119 normative keyword filtering, exposed as MCP tools for any AI agent

## Trust

- **Trust score (0–1):** 0.86
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/mirusser/rfc-rag)

## 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": "mirusser-rfc-rag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mirusser-rfc-rag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mirusser-rfc-rag/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