# errsys-artifacts

> errsys-artifacts — xxxn3m3s1sxxx-errsys-artifacts. Use this tool when you need to manage and track AI-related artifacts, such as llms.txt and ai-catalog files, to streamline AI agent development and deployment. It solves problems related to version control and collaboration by utilizing git capabilities. The tool takes in AI model files and outputs a tracked and cataloged repository of AI artifacts.

Canonical page: https://skillsregistry.net/skills/xxxn3m3s1sxxx-errsys-artifacts  
JSON: https://api.skillsregistry.net/v1/skills/xxxn3m3s1sxxx-errsys-artifacts

## Description

ERR.SYS artifacts: llms.txt, ai-catalog, wave-tracker for AI agents

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/xxxn3m3s1sxxx/errsys-artifacts)

## 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": "xxxn3m3s1sxxx-errsys-artifacts"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/xxxn3m3s1sxxx-errsys-artifacts` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/xxxn3m3s1sxxx-errsys-artifacts/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