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Install in OpenClaw
/install resume-batch-screener
Description
第一阶段批量筛选 - 通用岗位简历批量筛选工具,自动从JD提取评估维度,多候选人打分排序,生成筛选报告和面试邀请名单
Usage Guidance
Before installing or running this skill: 1) Confirm the execution environment — SKILL.md expects Python libraries (pdfplumber, python-docx, possibly pytesseract or other OCR and Excel-writing libs) but the skill metadata does not declare or install them. Run in an environment where you control and verify those packages (e.g., an isolated container). 2) Verify how image resumes are handled — OCR needs system binaries (tesseract) or cloud OCR; ask the author which approach is used. 3) Be aware this skill processes sensitive personal data (resumes). Ensure you have legal authority to process these resumes and that outputs are stored/handled securely. 4) Check the full SKILL.md for any steps that send emails or post data externally; the excerpt generates Excel lists but doesn't show sending invites — if you plan to enable automated emailing, require explicit credential prompts and review those instructions carefully. 5) If you need strong assurance, request/inspect the full implementation (code) or run the skill on non-sensitive sample data to confirm dependency and behavior. If the maintainer cannot explain the missing dependency/install details, treat the skill as higher risk.
Capability Analysis
Type: OpenClaw Skill
Name: resume-batch-screener
Version: 1.0.0
The resume-batch-screener skill is a productivity tool designed to automate the parsing of job descriptions and resumes to generate scored candidate reports. The SKILL.md file provides structured logic for document parsing (using pdfplumber and python-docx), scoring criteria, and Excel report generation. While it includes instructions for file system operations like deleting old reports (rm -f) and copying files to Windows directories in WSL environments, these actions are contextually appropriate for managing the tool's output and do not exhibit signs of data exfiltration, unauthorized access, or malicious intent.
Capability Assessment
Purpose & Capability
The name and description (batch resume screening from a JD and a folder of resumes) align with the instructions in SKILL.md. However, the SKILL.md includes concrete Python code and mentions libraries (e.g., pdfplumber, python-docx, regex, likely OCR for images) while the skill metadata declares no required binaries, packages, or install steps. That omission is an inconsistency (likely an oversight) but not proof of malicious intent.
Instruction Scope
Instructions explicitly direct the agent to read a job description file and a folder of candidate resume files and to produce Excel reports — that is within scope for a resume-screener. The SKILL.md shows code for parsing PDF/DOCX and likely for image handling (jpg/png), implying OCR may be required. The instructions do not (in the provided excerpt) direct the agent to read unrelated system files, external credentials, or to exfiltrate data to third-party endpoints, but the document is somewhat prescriptive and assumes the runtime has needed tooling/libraries.
Install Mechanism
This is an instruction-only skill with no install spec (lowest install risk). However, SKILL.md asks for use of third-party Python libraries (pdfplumber, python-docx, etc.) and likely OCR libraries; because those are not declared or installed by the skill, the agent would depend on the host environment. That mismatch is a practical/operational risk (missing deps, unclear assumptions), not an installation-hostile URL or binary download risk.
Credentials
The skill requests no environment variables, credentials, or config paths (which is appropriate). It does require access to user-supplied JD files and resume folders (sensitive personal data) — that is expected, but users should be aware this skill processes PII. There are no unexplained credential requests in metadata.
Persistence & Privilege
always:false and user-invocable: true. The skill does not request persistent presence or elevated platform privileges. It writes output files (Excel reports) which is normal for its purpose and does not modify other skills' configs according to the provided metadata.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install resume-batch-screener - After installation, invoke the skill by name or use
/resume-batch-screener - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
resume-batch-screener 1.0.0 — Initial release
- Provides a universal bulk resume screening tool for any job position.
- Automatically parses job descriptions to extract evaluation dimensions, requirements, and bonus items.
- Scores, ranks, and outputs multiple candidate resumes to standardized Excel reports, including screening and interview invitation lists.
- Supports multi-format input: JD (docx/pdf/md/txt) and resumes (docx/pdf/jpg/png).
- Includes detailed, transparent scoring rules and multi-dimensional evaluation adaptable by job type.
- Streamlines the first-phase filtering process and ensures cross-role comparability.
Metadata
Frequently Asked Questions
What is 第一阶段:批量筛选简历?
第一阶段批量筛选 - 通用岗位简历批量筛选工具,自动从JD提取评估维度,多候选人打分排序,生成筛选报告和面试邀请名单. It is an AI Agent Skill for Claude Code / OpenClaw, with 53 downloads so far.
How do I install 第一阶段:批量筛选简历?
Run "/install resume-batch-screener" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 第一阶段:批量筛选简历 free?
Yes, 第一阶段:批量筛选简历 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 第一阶段:批量筛选简历 support?
第一阶段:批量筛选简历 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 第一阶段:批量筛选简历?
It is built and maintained by suql82 (@suql82); the current version is v1.0.0.
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