# deidproof

> deidproof — cognis-digital-deidproof. Use this tool when you need to assess the re-identification risk of a dataset, ensuring compliance with regulations like HIPAA Safe Harbor. It computes k-anonymity and l-diversity metrics to evaluate data privacy, taking a dataset as input and producing compliance reports as output. Ideal for use cases requiring data anonymization and protection, such as healthcare data sharing or research studies.

Canonical page: https://skillsregistry.net/skills/cognis-digital-deidproof  
JSON: https://api.skillsregistry.net/v1/skills/cognis-digital-deidproof

## Description

Re-identification risk assessment that computes k-anonymity, l-diversity, and HIPAA Safe Harbor compliance on a dataset.

## 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/cognis-digital/deidproof)

## 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": "cognis-digital-deidproof"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cognis-digital-deidproof` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cognis-digital-deidproof/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