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Head Hunter

作者 Justin Liu · GitHub ↗ · v1.0.0
darwinlinuxwin32 ⚠ suspicious
376
总下载
0
收藏
1
当前安装
1
版本数
在 OpenClaw 中安装
/install head-hunter
功能描述
AI-powered headhunter system for intelligent candidate-job matching. Provides professional recruitment assistance with multi-dimensional matching algorithms,...
使用说明 (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! 🎯

安全使用建议
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.
功能分析
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.
能力评估
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.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install head-hunter
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /head-hunter 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
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.
元数据
Slug head-hunter
版本 1.0.0
许可证
累计安装 1
当前安装数 1
历史版本数 1
常见问题

Head Hunter 是什么?

AI-powered headhunter system for intelligent candidate-job matching. Provides professional recruitment assistance with multi-dimensional matching algorithms,... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 376 次。

如何安装 Head Hunter?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install head-hunter」即可一键安装,无需额外配置。

Head Hunter 是免费的吗?

是的,Head Hunter 完全免费(开源免费),可自由下载、安装和使用。

Head Hunter 支持哪些平台?

Head Hunter 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(darwin, linux, win32)。

谁开发了 Head Hunter?

由 Justin Liu(@zhenstaff)开发并维护,当前版本 v1.0.0。

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