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AI Resume Screener

Name: AI Resume Screener
Author: yang1002378395-cmyk

作者 yang1002378395-cmyk · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ✓ 安全检测通过

184

总下载

当前安装

版本数

在 OpenClaw 中安装

/install ai-resume-screener

功能描述

Automatically parse, score, and rank 1000+ resumes per batch by matching job requirements, supporting multiple formats with bias-free screening and analytics.

使用说明 (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！

安全使用建议

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.

功能分析

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.

能力评估

ℹ 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.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install ai-resume-screener
安装完成后，直接呼叫该 Skill 的名称或使用 /ai-resume-screener 触发
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: 简历智能筛选，HR效率提升10倍

元数据

Slug ai-resume-screener

版本 1.0.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

常见问题