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在 OpenClaw 中安装
/install suql-interview-analysis
功能描述
第二阶段面试前简历匹配度分析 - 仅基于简历和岗位要求,生成面试匹配度分析报告(面试问答清单已整合)
安全使用建议
This skill appears internally consistent and does only what it says: analyze resumes against a job description and produce a formatted docx report. Before installing or enabling it, consider: (1) privacy — it will process personally identifiable information (resumes); provide only data you are authorized to share and ensure compliance with your data-handling policies; (2) runtime dependencies — the instructions expect Python libraries (python-docx, pdfplumber/pdftotext) and OCR for images and specific fonts; the agent environment may need those installed for correct operation and formatting; (3) operational limits — strict formatting rules reference fonts and line-spacing semantics that may not be available, which could cause formatting errors (not a security issue); (4) confirm whether you want the agent to have filesystem access to the candidate files it will process — the skill needs the files but asks for no other system access. Overall the skill is coherent and does not request unrelated secrets or installs, but verify the runtime environment and data-privacy handling before use.
功能分析
Type: OpenClaw Skill
Name: suql-interview-analysis
Version: 1.0.0
The skill bundle is designed to automate the generation of candidate interview matching reports by comparing resumes with job descriptions. The instructions in SKILL.md focus on data extraction, professional formatting using python-docx, and structured analysis without any evidence of data exfiltration, malicious execution, or prompt injection attacks. The logic is consistent with its stated purpose of HR analysis.
能力评估
Purpose & Capability
The name/description match the SKILL.md: the skill only needs resumes and a job description to produce a structured matching report. All required inputs and described outputs (docx report, q&a checklist) align with the stated purpose; there are no unrelated environment variables, binaries, or external services requested.
Instruction Scope
The SKILL.md stays within scope — it instructs the agent to read candidate resumes and a JD, perform comparisons, and produce a six-section docx report. It explicitly forbids adding information not present in resumes. Notes: the instructions mention using pdfplumber/pdftotext/python-docx for parsing and OCR for images but do not name a specific OCR tool; they also require strict formatting rules. These are operational/implementation details (possible dependency/availability issues) but not scope creep or data-exfiltration instructions.
Install Mechanism
This is an instruction-only skill with no install spec or code files, so nothing will be written to disk by the skill package itself. The SKILL.md references third-party Python libraries (python-docx, pdfplumber/pdftotext) and OCR, but no installers are declared — this is an availability/deployment concern rather than a security mismatch.
Credentials
The skill requests no environment variables, credentials, or config paths. All required data are user-provided documents (resumes, JD). The absence of credential requests is proportionate to the described functionality.
Persistence & Privilege
The skill does not request always:true or other elevated persistence. It is user-invocable and may be invoked autonomously by default (platform normal), but it does not ask to 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 suql-interview-analysis - 安装完成后,直接呼叫该 Skill 的名称或使用
/suql-interview-analysis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
interview-analysis v1.0.0
- Initial release for resume-to-job matching analysis before the second-round interview.
- Generates a standardized matching report (DOCX), merging analysis and interview QA in six structured chapters.
- Strictly based on resume and job description only; does not process any interview records.
- Enforces output format requirements (font, layout, tables) and information accuracy (no additions, no omissions).
- Includes handling for missing required documents with explicit user confirmation steps.
- Bug fix: Corrects line spacing handling in python-docx (now uses `Pt(30)` for compatibility).
元数据
常见问题
第二阶段:面试前匹配度分析 是什么?
第二阶段面试前简历匹配度分析 - 仅基于简历和岗位要求,生成面试匹配度分析报告(面试问答清单已整合). 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 57 次。
如何安装 第二阶段:面试前匹配度分析?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install suql-interview-analysis」即可一键安装,无需额外配置。
第二阶段:面试前匹配度分析 是免费的吗?
是的,第二阶段:面试前匹配度分析 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
第二阶段:面试前匹配度分析 支持哪些平台?
第二阶段:面试前匹配度分析 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 第二阶段:面试前匹配度分析?
由 suql82(@suql82)开发并维护,当前版本 v1.0.0。
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