# io.github.rigour-labs/rigour

> Use this tool when you need to ensure the quality and reliability of AI agents by implementing lint, test, and build checks with memory persistence. It solves problems related to AI agent development, deployment, and maintenance by providing a robust quality gate framework. The tool accepts AI agent code and configuration as input and outputs validation results, making it ideal for use in AI development pipelines and continuous integration contexts.

Canonical page: https://skillsregistry.net/skills/io-github-rigour-labs-rigour  
JSON: https://api.skillsregistry.net/v1/skills/io-github-rigour-labs-rigour

## Description

Quality gates for AI agents. Lint, test, build checks with memory persistence.

## Trust

- **Trust score (0–1):** 0.45
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 2.11.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.rigour-labs%2Frigour)
- **Repository:** <https://github.com/rigour-labs/rigour>

## 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": "io-github-rigour-labs-rigour"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-rigour-labs-rigour` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-rigour-labs-rigour/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