51mee Interview Evaluation Report
v1.2.0面试评估报告。触发场景：用户提供面试记录或面试笔记，要求生成结构化评估报告。
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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, and SKILL.md are consistent: the skill parses interview text, scores dimensions, and returns a structured report. It declares no external services, binaries, or credentials that would be unrelated to this task.
Instruction Scope
The SKILL.md stays inside the stated purpose and does not instruct reading system files, env vars, or contacting external endpoints. Minor ambiguity: the document requires returning '严格符合 JSON 格式的数据' (strict JSON) but also provides a human-readable Markdown output template; callers should verify which output is actually expected/used to avoid format mismatches. The prompt claims local-only model use and data-clearing behavior, which are honest design constraints but are not verifiable from the skill text alone.
Install Mechanism
Instruction-only skill with no install spec and no code files — there is nothing written to disk or downloaded by the skill itself.
Credentials
No environment variables, credentials, or config paths are requested. The skill does not ask for unrelated secrets or broad system access.
Persistence & Privilege
always is false (default), no persistent/system-wide modifications are requested, and the skill does not claim to modify other skills or global settings.
Assessment
This skill appears internally consistent and limited to producing interview evaluation reports. Before installing: (1) confirm with the platform that the model inference is actually local and that data will not be sent to third parties as the SKILL.md claims, (2) avoid pasting unneeded personally identifiable information (PII) into interview records, and (3) test with sample inputs to ensure the skill returns the strict JSON schema you need (the doc also includes a Markdown template which could cause format confusion). If you require higher assurance that data is not persisted or exfiltrated, ask for evidence of the platform's local inference / data-retention behavior or run the skill in a controlled environment first.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.