Match jobs through resumes
v1.0.0智能简历求职匹配助手，当用户上传简历文件（PDF、Word、图片等）需要进行求职岗位匹配、企业背景调查、岗位适配度评估时使用。
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byUnclecheng@unclecheng-li
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description match the included scripts and references: resume parsing, web-based job search guidance, company background checks, and PDF report export. The code and reference docs support the stated purpose — there are no unexpected credentials, binaries, or unrelated platform accesses requested.
Instruction Scope
SKILL.md instructs parsing uploaded resume files and using a web_search tool to query public recruitment and corporate-information sources; that scope aligns with the stated goal. The scripts do not instruct reading unrelated local files or secrets. The job_searcher relies on an external 'web_search' capability (agent tool) to fetch public web data — consistent with the skill's purpose.
Install Mechanism
There is no formal install spec; this is primarily an instruction-only skill with helper Python scripts. The scripts require third-party Python packages (pdfplumber, python-docx, pytesseract, markdown_pdf, pillow, etc.) and Tesseract OCR for image parsing — dependency installation is noted in comments but not automated. This is not malicious but users should be aware dependencies must be installed in the runtime environment.
Credentials
The skill requests no environment variables, credentials, or config paths. All network activity described targets public recruitment and corporate-information sites. There are no requests for unrelated secrets or cloud credentials.
Persistence & Privilege
always:false and default invocation settings are used. The skill does not request permanent platform presence or attempt to modify other skills or system-wide agent settings.
Assessment
This skill appears internally consistent for resume parsing and job matching, but review before use: 1) Privacy: the skill expects users to upload resumes containing personal data — ensure you are comfortable sharing PII with the agent and any web_search tool it uses. 2) Dependencies: the included scripts require Python packages (pdfplumber, python-docx, pytesseract, markdown_pdf, pillow) and Tesseract OCR; install these in a controlled/isolated environment. 3) Network behavior: the skill delegates web crawling/searching to the agent's web_search capability and targets public recruitment and corporate-info sites; confirm your agent's web tool does not forward data to third parties you don't trust. 4) Running code: the scripts are plain Python with no obfuscated logic or hard-coded remote endpoints, but always run third-party code in an environment you control. If you need higher assurance, request the author add an explicit install spec and a minimal network-access policy for the web_search steps.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.