Meeting Notes Generator

智能会议纪要整理专家，保证信息100%不遗漏且字数至少2000字。当用户要求整理会议记录、生成会议纪要、提取会议要点、总结会议内容、将录音转文字文档转换为结构化纪要时使用此技能。特别适用于需要保证信息完整性和详细程度的场景。触发短语包括但不限于：帮我整理会议记录、会议纪要怎么写、生成会议纪要、整理会议要点、会议总...

This skill largely does what it says (convert uploaded PDFs/Word to structured meeting minutes), but there are unclear or missing pieces you should clarify before installing or using it with sensitive data: - Ask the author what 'DeepSeek API' is, what endpoint(s) it calls, and whether it requires an API key or other credentials; confirm where/how those credentials would be configured. The SKILL.md references this API but the package declares no env vars for authentication. - Confirm what 'extract_pdfs_full_content' refers to (a built-in platform function, a third-party library, or a remote service). If document contents are sent to a remote service, learn the retention and privacy policy. - The 'company verification' step implies external web/database lookups. Ask whether the skill will perform live web requests and where the results are sourced from; verify any data-sharing implications. - The requirement to reach 100% coverage and expand to ≥2000 words can pressure the agent to invent or over-interpret missing details. If you plan to use the skill on confidential meetings, test it first with non-sensitive samples to see how it handles gaps, expansions, and marking of supplemented content. - Request a clear data flow: what data is sent externally (if any), how long outputs/inputs are stored, and whether any third parties get copies. If the author cannot provide clear answers about external services and credential handling, avoid uploading confidential material or decline installation until the implementation details are made explicit.

Type: OpenClaw Skill Name: smart-meeting-generator Version: 1.0.0 The skill bundle is a legitimate tool designed to generate verbose meeting minutes from PDF or Word documents using a multi-stage AI refinement process. It includes utility scripts for packaging (package_skill.py) and linting (quick_validate.py) the bundle, both of which use standard libraries and follow safe practices. While the instructions in SKILL.md and ai-prompts.md enforce an unusually high word count (2000+ words) and 'simulated' searching, these appear to be functional requirements for verbosity rather than malicious attempts at data exfiltration or unauthorized system access.