AI Resume Screener

v1.0.0

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

0· 182·0 current·0 all-time

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for yang1002378395-cmyk/ai-resume-screener.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "AI Resume Screener" (yang1002378395-cmyk/ai-resume-screener) from ClawHub.
Skill page: https://clawhub.ai/yang1002378395-cmyk/ai-resume-screener
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install ai-resume-screener

ClawHub CLI

Package manager switcher

npx clawhub@latest install ai-resume-screener
Security Scan
VirusTotalVirusTotal
Benign
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OpenClawOpenClaw
Benign
medium confidence
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.
Scan Findings in Context
[NO_SCAN_FINDINGS] expected: The regex scanner found nothing — the skill is instruction-only with a small package.json and no code files, so this absence is expected. Lack of findings does not imply safety; it only means there was no code for the scanner to analyze.
Assessment
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.

Like a lobster shell, security has layers — review code before you run it.

latestvk970g2qgvz9tpzkm7peh4s9kzh834ezj
182downloads
0stars
1versions
Updated 1mo ago
v1.0.0
MIT-0

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


安装配置服务:¥199 起,30 分钟搞定!

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