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在 OpenClaw 中安装
/install resume-batch-screener
功能描述
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
安全使用建议
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.
功能分析
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.
能力评估
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.
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 resume-batch-screener - 安装完成后,直接呼叫该 Skill 的名称或使用
/resume-batch-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
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.
元数据
常见问题
第一阶段:批量筛选简历 是什么?
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. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 53 次。
如何安装 第一阶段:批量筛选简历?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install resume-batch-screener」即可一键安装,无需额外配置。
第一阶段:批量筛选简历 是免费的吗?
是的,第一阶段:批量筛选简历 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
第一阶段:批量筛选简历 支持哪些平台?
第一阶段:批量筛选简历 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 第一阶段:批量筛选简历?
由 suql82(@suql82)开发并维护,当前版本 v1.0.0。
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