# coverage

> Use this tool when you need to measure and analyze the extent of coverage for a given set of data or scenarios, solving problems related to gaps in testing, inspection, or evaluation. It provides inputs such as parameters and test cases, and outputs detailed reports on coverage metrics, helping identify areas that require improvement. This tool is ideal for use in quality assurance, testing, and validation contexts where comprehensive coverage is crucial.

Canonical page: https://skillsregistry.net/skills/alexandria-shai-eden-coverage  
JSON: https://api.skillsregistry.net/v1/skills/alexandria-shai-eden-coverage

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/alexandria-shai-eden/coverage)

## 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": "alexandria-shai-eden-coverage"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alexandria-shai-eden-coverage` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alexandria-shai-eden-coverage/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