# critpt-solver

> Use this tool when you need to validate and execute Python solutions for complex computational problems, specifically those found in the CritPt benchmark suite. It solves the problem of verifying the correctness and performance of Python code for these benchmarks, providing outputs such as execution results and validation reports. It takes Python code as input and provides detailed outputs, making it ideal for use cases where code verification and optimization are crucial.

Canonical page: https://skillsregistry.net/skills/wanng-ide-critpt-solver  
JSON: https://api.skillsregistry.net/v1/skills/wanng-ide-critpt-solver

## Description

Validates and executes Python solutions for CritPt benchmark problems.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-20

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-05-20

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/wanng-ide-critpt-solver)

## 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": "wanng-ide-critpt-solver"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wanng-ide-critpt-solver` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wanng-ide-critpt-solver/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