# claimcheck

> claimcheck — tzh476-claimcheck. Use this tool when you need to verify code fixes and settle claims about their effectiveness, as it runs tests with and without the proposed fix to provide conclusive results. It solves problems of uncertain or unverified code changes, ensuring reliable and trustworthy updates. This tool takes in code fixes and test cases as input and outputs test results, making it ideal for use in git-based development workflows.

Canonical page: https://skillsregistry.net/skills/tzh476-claimcheck  
JSON: https://api.skillsregistry.net/v1/skills/tzh476-claimcheck

## Description

An MCP server that settles a claim about code instead of asserting it — runs a test with and without the fix it guards

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/tzh476/claimcheck)

## 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": "tzh476-claimcheck"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tzh476-claimcheck` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tzh476-claimcheck/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