# io.github.Noderail/noderail

> Use this tool when you need to establish a trusted provenance and governance layer for AI-readable knowledge, ensuring that AI systems can reliably determine the credibility and accuracy of the data they process. NodeRail solves the problem of trust and data integrity in AI applications, providing a robust framework for verifying the sources and quality of knowledge. It takes in AI-readable data and outputs trusted and verified knowledge, making it an essential component in contexts where data reliability is critical.

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

## Description

Provenance and governance layer for AI-readable knowledge. NodeRail answers what AI should trust.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-24

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.Noderail%2Fnoderail)

## 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-noderail-noderail"
    }
  }
}
```

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