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专业简历筛选技能
by
yuyang-rgb094
· GitHub ↗
· v1.0.0
· MIT-0
705
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Install in OpenClaw
/install resume-screening
Description
专业的简历筛选与评估技能,按照"先硬后软,先筛后读"的漏斗式流程,从基础匹配度、能力匹配度、动机稳定匹配度三个维度对候选人简历进行量化评估,筛选出最合适且最真实的候选人。使用场景:(1) 招聘时批量筛选简历池,(2) 单个候选人简历深度评估,(3) 生成面试推荐名单与评估意见。
Usage Guidance
该技能在内部一致性和权限要求上是合理的,但请注意:1) 简历包含大量个人敏感信息(姓名、联系方式、教育/工作经历等),在使用前确认已取得候选人同意并在合规范围内处理与存储数据;2) 在将此说明交给模型自动运行时,确保运行环境不会将简历数据发送到第三方服务或日志系统——务必审查代理的网络/日志策略;3) 验证评分规则是否引入偏见(例如对院校、跳槽频率的硬性扣分可能造成不公平);4) 在生产使用前用小样本测试输出、审计若干评估结果以确认规则实现与预期一致;5) 如需长期保存评估结果,制定最小化存储与访问控制策略。若你希望进一步降低风险,可要求技能在处理前进行数据脱敏或限制自动化范围(仅用户显式触发运行)。
Capability Analysis
Type: OpenClaw Skill
Name: resume-screening
Version: 1.0.0
The skill bundle provides structured instructions for an AI agent to perform resume screening and evaluation. It outlines a logical three-step process (initial filter, behavioral verification, and scoring) and defines output formats. There are no signs of malicious intent, data exfiltration, or unauthorized command execution in SKILL.md or _meta.json.
Capability Assessment
Purpose & Capability
技能名称、描述与 SKILL.md 中的筛选流程、评分规则和输出格式一致;没有请求与招聘/简历处理无关的资源或凭据。
Instruction Scope
指令只描述如何解析职位说明、阅读简历内容、按规则打分并生成推荐/淘汰名单;未要求读取系统文件、环境变量或将数据发送到非预期外部端点。
Install Mechanism
无安装规范、无代码文件(纯说明文档),因此不会在主机上写入或执行额外二进制/脚本。
Credentials
声明不需要任何环境变量、凭据或配置路径;SKILL.md 也未引用额外凭据,所需权限与功能相称。
Persistence & Privilege
always:false(默认);允许模型按需调用(正常)。技能未请求常驻权限或修改其它技能/系统配置。
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install resume-screening - After installation, invoke the skill by name or use
/resume-screening - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of the resume-screening skill, focused on professional resume filtering and evaluation.
- Implements a funnel process: basic (hard) matching, capability matching, and motivation/stability matching across three steps.
- Provides quantitative scoring system (total 100 points), detailed scoring criteria for each evaluation dimension.
- Generates structured output with recommendations for interview lists, hold pool, and rejections, including specific evaluation comments.
- Supports use cases for batch filtering, deep assessment of single resumes, and interview shortlist generation.
Metadata
Frequently Asked Questions
What is 专业简历筛选技能?
专业的简历筛选与评估技能,按照"先硬后软,先筛后读"的漏斗式流程,从基础匹配度、能力匹配度、动机稳定匹配度三个维度对候选人简历进行量化评估,筛选出最合适且最真实的候选人。使用场景:(1) 招聘时批量筛选简历池,(2) 单个候选人简历深度评估,(3) 生成面试推荐名单与评估意见。 It is an AI Agent Skill for Claude Code / OpenClaw, with 705 downloads so far.
How do I install 专业简历筛选技能?
Run "/install resume-screening" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 专业简历筛选技能 free?
Yes, 专业简历筛选技能 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 专业简历筛选技能 support?
专业简历筛选技能 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 专业简历筛选技能?
It is built and maintained by yuyang-rgb094 (@yuyang-rgb094); the current version is v1.0.0.
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