51mee Resume Parse
v1.2.1简历解析。触发场景：用户上传简历文件要求解析、提取结构化信息。
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by51mee@51mee-com
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
The name/description (resume parsing) match the instructions: read uploaded resume files, extract text, call a large model, and return structured JSON. There are no unexpected required binaries, env vars, or installs that would be disproportionate to the stated purpose.
Instruction Scope
Instructions stay within the resume-parsing task (read file, extract text, run LLM prompt, return JSON). However there are two inconsistencies: the prompt explicitly says '直接返回 JSON，不要额外解释' while a later '输出格式' section shows a human-readable Markdown summary — this is contradictory and can cause unpredictable outputs. The SKILL.md requires extracting text from images/PDFs but does not specify how (no OCR/tool instructions), and there is no guidance about handling or redacting sensitive PII before sending full resume text to the model.
Install Mechanism
No install spec and no code files — instruction-only — so nothing will be downloaded or written to disk by the skill itself. This is the lowest-risk install profile.
Credentials
The skill requests no environment variables or credentials, which is appropriate. Note: processing resumes entails handling sensitive personal data (phones, emails, birthdates) — the skill does not declare any retention, redaction, or external transmission policies; ensure the hosting environment and model endpoint are acceptable for PII.
Persistence & Privilege
always is false and the skill is user-invocable. It does not request persistent privileges or modify other skills/configs. Autonomous invocation is allowed by platform default but not excessive here.
Assessment
This skill appears to do what it says (parse uploaded resumes into structured JSON). Before installing, confirm the following: (1) Clarify expected output format — the prompt asks for raw JSON but the doc also shows a Markdown summary; decide which you need and test with examples. (2) Ensure the host supports text extraction/OCR for PDFs/JPG/PNG (the SKILL.md assumes you can extract text but doesn't provide tools). (3) Treat parsed resumes as sensitive PII: verify where the model invocation runs (local vs external API), retention/logging policies, and legal/compliance needs. (4) Consider adding redaction or minimization (e.g., mask ID numbers) if you cannot guarantee secure model endpoints. (5) Run tests with representative resumes to validate date/phone formats and that the model doesn't hallucinate fields.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.