# zetesis

> zetesis — reutavidan-zetesis. Use this tool when you need to verify the validity of scientific claims or conduct thorough due diligence on medical or research-related assertions. Zetesis grades claims against public literature, clinical trials, and filings, providing explicit citations and optional attestation to ensure accuracy and transparency. It is ideal for use cases where evidence-based decision-making is crucial, such as research evaluation, investment analysis, or regulatory compliance.

Canonical page: https://skillsregistry.net/skills/reutavidan-zetesis  
JSON: https://api.skillsregistry.net/v1/skills/reutavidan-zetesis

## Description

Enables scientific due diligence by grading claims against public literature, clinical trials, and filings, with explicit citations and optional attestation.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/o4iwdjn7xk)
- **Repository:** <https://github.com/reutavidan/zetesis>

## 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": "reutavidan-zetesis"
    }
  }
}
```

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