# helvetic-research

> helvetic-research — helvetic-research-helvetic-research. Use this tool when you need to conduct thorough quantitative research and testing for AI models, leveraging capabilities such as backtesting, robustness testing, and provenance tracking. It solves problems related to model validation, reliability, and audit readiness, providing outputs via MCP. Ideal for use cases requiring rigorous testing and verification of AI models, with integration via git for seamless version control.

Canonical page: https://skillsregistry.net/skills/helvetic-research-helvetic-research  
JSON: https://api.skillsregistry.net/v1/skills/helvetic-research-helvetic-research

## Description

Research-only quantitative engine for AI clients: backtests, robustness testing, provenance, and audit-ready results via MCP.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/helvetic-research/helvetic-research)

## 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": "helvetic-research-helvetic-research"
    }
  }
}
```

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