# io.github.archonics/mcp-audit

> Use this tool when you need to conduct free context-engineering audits for AI agents, bringing your own Anthropic key to identify top-3 findings per scan and optimize performance. It solves problems related to AI model evaluation and improvement, providing actionable insights through a straightforward interface. Ideal for use cases requiring rapid assessment and refinement of AI agent contexts.

Canonical page: https://skillsregistry.net/skills/io-github-archonics-mcp-audit  
JSON: https://api.skillsregistry.net/v1/skills/io-github-archonics-mcp-audit

## Description

Free context-engineering audits for AI agents. BYOK Anthropic key. Top-3 findings per scan.

## Trust

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

## Facts

- **Version:** 0.1.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-05

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.archonics%2Fmcp-audit)
- **Repository:** <https://github.com/archonics/mcp-audit>

## 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-archonics-mcp-audit"
    }
  }
}
```

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