# runa

> Use this tool when you need to enforce consistency and validation in multi-step AI agent workflows. Runa solves problems of data integrity and compatibility by validating work products against declared schemas and computing readiness to run, ensuring verified inputs are delivered to each agent invocation. It integrates with git, providing a seamless interface for workflow management and automation.

Canonical page: https://skillsregistry.net/skills/pentaxis93-runa  
JSON: https://api.skillsregistry.net/v1/skills/pentaxis93-runa

## Description

Enforcement layer for multi-step AI agent workflows — validates work products against declared schemas, computes what's ready to run, and delivers verified inputs to each agent invocation.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-04-22

## Source

- **Source listing:** [GitHub](https://github.com/pentaxis93/runa)

## 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": "pentaxis93-runa"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pentaxis93-runa` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pentaxis93-runa/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