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Resume Score for the resume
作者
Unclecheng
· GitHub ↗
· v1.0.0
· MIT-0
113
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install unclecheng-ai-resume-judge
功能描述
AI简历评分助手。根据用户上传的简历(含Markdown文本或文件),按照AI领域满分/及格线两份参考简历为基准,计算简历能力值(满分100分)。若简历非AI领域,则进行跨行业等价换算,评估该简历在其所属行业的能力水平。
安全使用建议
This skill appears coherent and self-contained: it scores resumes using local Python code and templates and does not ask for credentials or external installation. Before using it, consider: (1) Only provide resume files you intend the skill to read (it will parse any path you supply). (2) The scoring is keyword/regex-based and may misclassify fields or industry; treat the output as advisory, not definitive. (3) If you need stronger privacy guarantees, review the full scripts (scripts/resume_scorer.py and any remaining JS in assets) to confirm there are no hidden network calls in code portions not shown, or run the scorer in a trusted, offline environment. (4) Don't paste highly sensitive personal data unless you accept the privacy tradeoffs of processing those contents.
功能分析
Type: OpenClaw Skill
Name: unclecheng-ai-resume-judge
Version: 1.0.0
The skill bundle contains a resume scoring engine that exhibits risky file handling behavior. Specifically, `scripts/resume_scorer.py` attempts to open and read any input string that looks like a file path without sanitization or validation, which could be exploited to read arbitrary local files. Furthermore, the script contains a hardcoded absolute output path (`C:/Users/UncleC/Desktop/...`), indicating poor security hygiene and potential for unauthorized file writes on specific systems. While these appear to be unintentional vulnerabilities rather than intentional malice, they pose a risk to the host environment.
能力评估
Purpose & Capability
Name/description (resume scoring) matches included artifacts: SKILL.md describes scoring logic, references scoring_benchmark.md, provides templates, and the repo contains a local scorer (scripts/resume_scorer.py) and a report UI (assets/index.html). No unrelated credentials, binaries, or platform access are requested.
Instruction Scope
Runtime instructions tell the agent to accept pasted text or read a user-supplied file path and parse it to plain text — this is expected for a resume grader. Note: the skill will parse any file the user provides, so only supply files you intend the skill to read; the scoring logic is keyword- and regex-based (may misclassify some resumes).
Install Mechanism
No install spec is provided (instruction-only plus local Python script and static HTML). Nothing is downloaded or executed from external URLs in the provided files. This is low-risk for installation behavior.
Credentials
No environment variables, credentials, or config paths are required. The skill does not declare or attempt to read external secrets in the provided SKILL.md and shown code imports are standard (re, json, datetime).
Persistence & Privilege
The skill is not marked 'always: true' and does not request persistent or platform-wide privileges. It contains only its own local code and static assets and does not modify other skills or global agent settings in the provided artifacts.
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 unclecheng-ai-resume-judge - 安装完成后,直接呼叫该 Skill 的名称或使用
/unclecheng-ai-resume-judge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
AI-Resume-Judge v1.0.0
- 初始发布:简历能力智能评分助手上线,支持AI及多行业领域简历自适应打分。
- 提供AI领域满分/及格线参考简历,使评分标准明确可追溯。
- 支持100分细化的分项评分(7大维度),兼具成就、技术、经历、表达等层面。
- 实现自动识别简历所属行业,并据行业难度系数进行等价分数换算。
- 输出结构化报告,包括详细分维打分、具体点评与Top 3改进建议。
- 修正行业识别逻辑,提升非技术类行业判定准确性。
元数据
常见问题
Resume Score for the resume 是什么?
AI简历评分助手。根据用户上传的简历(含Markdown文本或文件),按照AI领域满分/及格线两份参考简历为基准,计算简历能力值(满分100分)。若简历非AI领域,则进行跨行业等价换算,评估该简历在其所属行业的能力水平。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 113 次。
如何安装 Resume Score for the resume?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install unclecheng-ai-resume-judge」即可一键安装,无需额外配置。
Resume Score for the resume 是免费的吗?
是的,Resume Score for the resume 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Resume Score for the resume 支持哪些平台?
Resume Score for the resume 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 Score for the resume?
由 Unclecheng(@unclecheng-li)开发并维护,当前版本 v1.0.0。
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