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AI Resume Screener
by
yang1002378395-cmyk
· GitHub ↗
· v1.0.0
· MIT-0
184
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Install in OpenClaw
/install ai-resume-screener
Description
Automatically parse, score, and rank 1000+ resumes per batch by matching job requirements, supporting multiple formats with bias-free screening and analytics.
README (SKILL.md)
AI Resume Screener
智能简历筛选，HR 效率提升 10 倍。
核心能力
✅ 简历解析 - 自动提取姓名/学历/经验/技能 ✅ 智能匹配 - 根据职位要求自动评分排序 ✅ 批量处理 - 一次处理 1000+ 份简历 ✅ 多格式支持 - PDF/Word/图片/在线简历 ✅ 偏见消除 - 匿名筛选，降低人为偏见 ✅ 数据分析 - 简历来源、通过率、时间分析
快速开始
1. 安装
openclaw skills install ai-resume-screener
2. 配置职位要求
name: ai-resume-screener
config:
# 职位模板
position:
title: "Python开发工程师"
requirements:
- "3年以上Python经验"
- "熟悉Django/Flask"
- "有大型项目经验优先"
skills:
- Python: required
- Django: preferred
- Docker: plus
# 评分权重
scoring:
skills: 40%
experience: 30%
education: 20%
projects: 10%
3. 筛选简历
# 批量筛选
openclaw run --screen-resumes ./resumes_folder --position python_dev
# 查看排名
openclaw run --show-ranking --top 10
ROI 计算
| 指标 | 人工筛选 | AI 筛选 | 提升 |
|---|---|---|---|
| 单份耗时 | 5 分钟 | 5 秒 | 60x |
| 日处理量 | 50 份 | 5000 份 | 100x |
| 匹配准确率 | 60% | 85% | +25% |
| HR 成本 | ¥8000/月 | ¥800/月 | 10x |
定价
| 套餐 | 价格 | 功能 |
|---|---|---|
| 基础版 | ¥199 | 简历解析 + 100份/月 |
| 专业版 | ¥499 | 智能匹配 + 1000份/月 |
| 企业版 | ¥1499 | 无限简历 + 多职位 + 定制 |
客户案例
某互联网公司
- 月均简历：3000 份
- HR 时间：从 100 小时降至 2 小时
- 招聘周期：缩短 40%
某猎头公司
- 简历库：10 万份
- 匹配速度：从 1 天降至 5 分钟
- 成单率：提升 30%
技术支持
- 📧 Email: [email protected]
- 💬 Telegram: @openclaw_service
- 📱 微信: openclaw-cn
安装配置服务：¥199 起，30 分钟搞定！
Usage Guidance
This skill appears coherent with its stated purpose, but before installing: 1) Confirm where resume processing runs (locally on your machine or uploaded to a remote/corporate/cloud service). Resumes contain PII — ensure data protection and retention policies. 2) Ask the provider which OCR/conversion tools are used and whether additional binaries or network access are required. 3) Test on non-sensitive sample resumes to verify behavior and outputs. 4) Because source/homepage are missing, prefer skills with clear provenance or request a privacy/security statement from the author before processing real candidate data.
Capability Analysis
Type: OpenClaw Skill
Name: ai-resume-screener
Version: 1.0.0
The skill bundle contains only metadata and documentation (SKILL.md, package.json, _meta.json) for an AI-based resume screening tool. There is no executable code provided, and the instructions are consistent with the stated purpose of parsing and ranking resumes without any signs of data exfiltration, malicious execution, or prompt injection.
Capability Assessment
Purpose & Capability
The name/description (batch resume parsing, scoring, multi-format) match the SKILL.md commands that call the OpenClaw CLI to process a local resumes folder. However, the skill claims OCR/PDF/Word/image support and high-volume processing yet declares no dependencies or runtime requirements (no mention of OCR engines, converters, or external services). This is plausible if the OpenClaw runtime provides those features, but the skill itself does not justify or declare them.
Instruction Scope
SKILL.md instructs the agent to install the skill and run OpenClaw CLI commands against a local resumes folder and a YAML position config. It does not instruct reading unrelated system files, environment variables, or transmitting data to unknown endpoints. The instructions are narrowly scoped to the stated task.
Install Mechanism
There is no install spec and no code files to install — this is an instruction-only skill with a lightweight package.json. No downloads, extracts, or external install URLs are present.
Credentials
The skill declares no required environment variables, credentials, or config paths. That is proportionate to the instruction-only content. Note: absence of declared secrets means the skill itself does not request credentials, but you should confirm where processing happens (local vs cloud) before uploading PII.
Persistence & Privilege
always is false and the skill does not request persistent privileges or attempt to modify other skills or system-wide settings. Autonomous invocation is allowed by default but not unusual; nothing in the skill requests elevated persistence.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install ai-resume-screener - After installation, invoke the skill by name or use
/ai-resume-screener - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: 简历智能筛选，HR效率提升10倍
Metadata
Frequently Asked Questions
What is AI Resume Screener?
Automatically parse, score, and rank 1000+ resumes per batch by matching job requirements, supporting multiple formats with bias-free screening and analytics. It is an AI Agent Skill for Claude Code / OpenClaw, with 184 downloads so far.
How do I install AI Resume Screener?
Run "/install ai-resume-screener" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is AI Resume Screener free?
Yes, AI Resume Screener is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does AI Resume Screener support?
AI Resume Screener is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created AI Resume Screener?
It is built and maintained by yang1002378395-cmyk (@yang1002378395-cmyk); the current version is v1.0.0.
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