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resume-evaluation-report
作者
kongkong827
· GitHub ↗
· v1.0.0
· MIT-0
220
总下载
0
收藏
1
当前安装
1
版本数
在 OpenClaw 中安装
/install resume-evaluation-report
功能描述
根据HR专业视角生成结构化简历评估报告。当用户需要评估候选人简历、分析候选人优劣势、识别招聘风险、或为后续面试准备问题时使用此技能。触发场景：用户发来简历文件（PDF/DOCX/图片）并要求评估；用户说"帮我看看这个候选人"、"评估一下这个人"、"分析一下这份简历"、"面试可以问什么"、"这个人的优劣势"等。
安全使用建议
This skill appears coherent and appropriate for evaluating resumes. Before installing/run: (1) confirm how OCR will be performed — locally or via a third-party API — because using an external OCR service would transmit resume content offsite; (2) ensure your agent/runtime has (or will install) the referenced Python libraries (PyPDF2, python-docx, OCR tooling) if you expect it to process PDFs/DOCX/images; and (3) remember the skill enforces a strict report template — verify that format suits your workflow. If you need guarantees about data handling (especially for sensitive candidate information), ask the implementer whether any network requests or external services are used during extraction/processing.
功能分析
Type: OpenClaw Skill
Name: resume-evaluation-report
Version: 1.0.0
The skill bundle is a legitimate tool designed to help an AI agent generate structured HR resume evaluation reports. The instructions in `skill.md` define a professional workflow for document analysis and report generation without any signs of data exfiltration, malicious execution, or harmful prompt injection. The logic is entirely focused on candidate assessment and interview preparation.
能力评估
Purpose & Capability
Name/description (resume evaluation) align with instructions: extracting resume text (PDF/DOCX/image), analyzing content, and producing a structured report. The listed extraction libraries (PyPDF2, python-docx, OCR) are reasonable tools for the stated task.
Instruction Scope
Instructions stay on task: they read and analyze user-provided resume files and produce a structured report. Minor note: the OCR step is unspecified (which OCR service/library to use). If an implementation uses an external OCR API, that would send resume content off-device — users should confirm whether OCR runs locally or externally.
Install Mechanism
No install spec is provided (instruction-only), so nothing will be written or fetched at install time. The runtime references to Python libraries are plausible; absence of an install step means the agent/runtime must already provide or install those libs when invoked, but that is an implementation detail rather than an incoherence.
Credentials
The skill requires no environment variables, credentials, or config paths. Requested operations (file parsing, text analysis) are proportional to the stated purpose.
Persistence & Privilege
always:false and default autonomy are appropriate. The skill does not request persistent or elevated privileges and does not modify other skills or system-wide settings.
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-evaluation-report - 安装完成后，直接呼叫该 Skill 的名称或使用
/resume-evaluation-report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 of resume-evaluation-report skill:
- Generates structured resume evaluation reports from an HR perspective.
- Strictly follows a five-part template: summary advice, candidate profile, key strengths, potential risks, and suggested interview questions.
- Utilizes file parsing (PDF, DOCX, images) and analyzes all content based strictly on evidence from the resume.
- Emphasizes judgmental, quantified, and efficient feedback for hiring managers.
- Ensures markdown formatting for easy readability in web or chat environments.
元数据
常见问题
resume-evaluation-report 是什么？
根据HR专业视角生成结构化简历评估报告。当用户需要评估候选人简历、分析候选人优劣势、识别招聘风险、或为后续面试准备问题时使用此技能。触发场景：用户发来简历文件（PDF/DOCX/图片）并要求评估；用户说"帮我看看这个候选人"、"评估一下这个人"、"分析一下这份简历"、"面试可以问什么"、"这个人的优劣势"等。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 220 次。
如何安装 resume-evaluation-report？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install resume-evaluation-report」即可一键安装，无需额外配置。
resume-evaluation-report 是免费的吗？
是的，resume-evaluation-report 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
resume-evaluation-report 支持哪些平台？
resume-evaluation-report 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 resume-evaluation-report？
由 kongkong827（@kongkong827）开发并维护，当前版本 v1.0.0。
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