# fairrecruit

> Use this tool when you need to automate recruitment tasks, such as sourcing and screening candidates, to improve fairness and efficiency in the hiring process. Fairrecruit solves problems like biased hiring decisions and tedious manual screening, providing a more equitable and streamlined recruitment experience. It integrates with git, taking in candidate data and outputting ranked candidate lists, making it ideal for use cases where diversity and inclusion are top priorities.

Canonical page: https://skillsregistry.net/skills/breedevelopers-fairrecruit  
JSON: https://api.skillsregistry.net/v1/skills/breedevelopers-fairrecruit

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/BreeDevelopers/fairrecruit)

## 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": "breedevelopers-fairrecruit"
    }
  }
}
```

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