# tardygrada

> tardygrada — fabio-rovai-tardygrada. Use this tool when you need to establish trust in AI-generated data, ensuring its integrity and authenticity. Tardygrada solves the problem of verifying data provenance and tamper-evidence, providing a reliable interface for inputting and outputting trusted values. It is particularly useful in contexts where data security and transparency are crucial, such as in AI model training and deployment.

Canonical page: https://skillsregistry.net/skills/fabio-rovai-tardygrada  
JSON: https://api.skillsregistry.net/v1/skills/fabio-rovai-tardygrada

## Description

A verified runtime for trustworthy AI agents: every claim passes an 8-layer verification pipeline before it counts. Deterministic checks, explainable verdicts, no LLM judging an LLM. Pure C, zero dependencies, MCP-native.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/fabio-rovai/tardygrada)

## 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": "fabio-rovai-tardygrada"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fabio-rovai-tardygrada` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fabio-rovai-tardygrada/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