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第二阶段:面试前匹配度分析

by suql82 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install suql-interview-analysis
Description
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)
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install suql-interview-analysis
  3. After installation, invoke the skill by name or use /suql-interview-analysis
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
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).
Metadata
Slug suql-interview-analysis
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is 第二阶段:面试前匹配度分析?

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). It is an AI Agent Skill for Claude Code / OpenClaw, with 57 downloads so far.

How do I install 第二阶段:面试前匹配度分析?

Run "/install suql-interview-analysis" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is 第二阶段:面试前匹配度分析 free?

Yes, 第二阶段:面试前匹配度分析 is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does 第二阶段:面试前匹配度分析 support?

第二阶段:面试前匹配度分析 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created 第二阶段:面试前匹配度分析?

It is built and maintained by suql82 (@suql82); the current version is v1.0.0.

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