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zhenstaff

Head Hunter

by Justin Liu · GitHub ↗ · v1.0.0
darwinlinuxwin32 ⚠ suspicious
376
Downloads
0
Stars
1
Active Installs
1
Versions
Install in OpenClaw
/install head-hunter
Description
AI-powered headhunter system for intelligent candidate-job matching. Provides professional recruitment assistance with multi-dimensional matching algorithms,...
README (SKILL.md)

Headhunter - AI Recruitment Assistant

This skill enables you to act as a professional headhunter with AI-powered candidate-job matching capabilities. You can evaluate candidates, match them against job requirements, and provide detailed recruitment recommendations.

When to Activate This Skill

Activate this skill when the user:

  • Needs to match candidates with job openings
  • Wants to evaluate a candidate's fit for a position
  • Seeks to rank multiple candidates for a job
  • Asks for recruitment advice or candidate analysis
  • Needs help with hiring decisions
  • Wants to understand candidate strengths and concerns

Core Features

Intelligent Matching - Multi-dimensional candidate-job matching ✅ Skill Analysis - Automatic skill matching with synonym recognition ✅ Batch Ranking - Compare and rank multiple candidates ✅ Detailed Insights - Strengths, concerns, and interview questions

Quick Match Example

import asyncio
from headhunter import Headhunter, Candidate, Job

async def main():
    hr = Headhunter()
    match = await hr.match_candidate(candidate, job)
    print(f"Score: {match.overall_score}/100")
    print(f"Recommendation: {match.recommendation}")

asyncio.run(main())

Ready to find the perfect candidate? Let's start matching! 🎯

Usage Guidance
This is an instruction-only skill that documents a Python 'headhunter' package but does not include the package code. Before using it, verify where the headhunter package comes from (PyPI or the project repo), inspect its source, and avoid blindly running pip installs in a production environment. If you expect local use, either obtain and review the package source from the listed GitHub URL or ask the skill author to include the implementation. If you must run the example, do so in an isolated environment (e.g., virtualenv or sandbox) and confirm the package origin and integrity.
Capability Analysis
Type: OpenClaw Skill Name: head-hunter Version: 1.0.0 The 'head-hunter' skill bundle is a recruitment assistant designed for candidate-job matching and ranking. The documentation (SKILL.md and README.md) outlines a standard multi-dimensional scoring system for skills, experience, and education, using legitimate dependencies like email-validator. No malicious indicators, data exfiltration attempts, or suspicious execution patterns were found in the provided metadata or instructions.
Capability Assessment
Purpose & Capability
Name/description (AI headhunter) match the requested binary (python3) and the single pip dependency (email-validator). However, the SKILL.md and README show Python package APIs (from headhunter import Headhunter, etc.) and a full package layout while the skill bundle contains no code files — only instructions and docs. That mismatch means the skill expects a package that isn't provided; it may rely on the environment already having that package or on the user to install it.
Instruction Scope
SKILL.md instructions focus on recruitment tasks and contain only example Python usage. They do not instruct the agent to read unrelated system files, access credentials, or exfiltrate data. The example code assumes availability of a headhunter package but doesn't provide steps that touch sensitive system paths or other services.
Install Mechanism
No install spec that downloads arbitrary archives is present. The metadata suggests a single pip install of email-validator, which is a small, common package. Because the skill is instruction-only, nothing will be written to disk by the skill itself beyond what the agent chooses to run.
Credentials
The skill declares no required environment variables, credentials, or config paths. That is proportionate to a local matching/recruitment assistant. There is no request for unrelated secrets or broad environment access.
Persistence & Privilege
The skill does not set always: true and does not request persistent system privileges. It's user-invocable and can be invoked autonomously per platform defaults — appropriate for this type of skill.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install head-hunter
  3. After installation, invoke the skill by name or use /head-hunter
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of the head-hunter skill. - Provides AI-powered candidate-job matching and recruitment recommendations. - Features multi-dimensional matching algorithms and automatic skill analysis. - Supports batch ranking of candidates and delivers detailed candidate insights. - Usable across Darwin, Linux, and Windows platforms.
Metadata
Slug head-hunter
Version 1.0.0
License
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is Head Hunter?

AI-powered headhunter system for intelligent candidate-job matching. Provides professional recruitment assistance with multi-dimensional matching algorithms,... It is an AI Agent Skill for Claude Code / OpenClaw, with 376 downloads so far.

How do I install Head Hunter?

Run "/install head-hunter" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Head Hunter free?

Yes, Head Hunter is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Head Hunter support?

Head Hunter is cross-platform and runs anywhere OpenClaw / Claude Code is available (darwin, linux, win32).

Who created Head Hunter?

It is built and maintained by Justin Liu (@zhenstaff); the current version is v1.0.0.

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