recruitment-assistant

v1.0.0

智能招聘助手。根据职位JD自动筛选和评估简历,输出候选人排序报告,并为每个候选人生成定制化面试问题清单。当用户需要筛选简历、评估候选人匹配度、准备面试问题时触发。

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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
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Benign
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OpenClawOpenClaw
Benign
high confidence
Purpose & Capability
Name/description (resume screening, report and interview question generation) matches the instructions and the files included. There are no unexpected environment variables, credentials, or unrelated binaries requested.
Instruction Scope
SKILL.md explicitly directs the agent to read JD.txt, resumes (PDF/DOC/DOCX/HTML/TXT) and an optional global personalprefer.txt, then generate local HTML/Markdown reports. This is within stated purpose. Note: the skill will extract contact details and other personal data from resumes (expected for this purpose) and claims processing is local — the repository contains no steps that send data to external endpoints, but the skill does not describe how PDF/DOCX parsing is implemented (so behavior depends on the runtime environment).
Install Mechanism
Instruction-only skill with no install spec and no code files; nothing is downloaded or written by the skill itself. This is the lowest-risk install model. However, extracting text from PDFs/DOCX may require parser libraries/tools that are not declared here — the skill assumes the agent environment can parse these formats.
Credentials
No environment variables, credentials, or config paths are requested. The requested scope (reading a local jobs/ folder and an optional personalprefer.txt) is proportionate to the described functionality.
Persistence & Privilege
Skill is not always-on and does not request elevated privileges or system-wide configuration changes. It does not declare modifications to other skills or global agent settings.
Assessment
This skill appears coherent and focused on local resume processing, but review these before installing: 1) Confirm how your agent runtime grants filesystem access — the skill will read resumes (including contact info) in the specified jobs/ folders, so only grant access to intended directories. 2) Verify that PDF/DOC/DOCX parsing will run locally and not call external services (the skill doesn't declare how parsing is implemented). 3) Treat resumes as sensitive personal data; test with non-sensitive samples first and confirm generated reports stay local. 4) personalprefer.txt is global to jobs/ and influences all positions — keep per-interviewer preferences private if needed. 5) If your environment has network access, audit agent/network policies to ensure no unintended uploads of candidate data. If you need more assurance, request an explicit implementation that documents the parser libraries used and a proof that no network calls are made during processing.

Like a lobster shell, security has layers — review code before you run it.

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License

MIT-0
Free to use, modify, and redistribute. No attribution required.

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