# runx

> runx — ai-runx-runx. Use this tool when you need to manage and execute agent skills in a controlled environment. Runx solves the problem of skill governance and discovery by providing a catalog search and inspection functionality, allowing users to find and test skills before running them. It takes in skill queries and outputs executable skills, making it ideal for use cases where skill management and runtime control are crucial.

Canonical page: https://skillsregistry.net/skills/ai-runx-runx  
JSON: https://api.skillsregistry.net/v1/skills/ai-runx-runx

## Description

The governed runtime for agent skills. Search the catalog and inspect a skill before running it.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-07

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.runx%2Frunx)
- **Repository:** <https://github.com/runxhq/runx>

## Use it

MCP endpoint published by the skill: `https://api.runx.ai/mcp`

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": "ai-runx-runx"
    }
  }
}
```

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

---
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