ljg-qa
信息提问机。给一篇文章/论文/书，把核心观点抽成 Q-A 对——Question 切要害，不教科书；Answer 简洁清晰，有形式化收口，逻辑链完整。读者顺 Q 链走过，每个 A 砸下一枚钉子，复现作者整套推理。Use when user says '问答', 'Q&A', 'QA', '提问', '抽取问题', '/ljg-qa', or shares an article/paper/book and asks for Q-A extraction. Triggers when the user wants ideas extracted not as a summary but as a sequence of incisive questions with answered. NOT FOR FAQ generation, glossary creation, or comprehension quizzes — this is intellectual scaffolding, not study aids.
78%
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Low
Low-risk findings worth noting
Fix and improve this skill with Tessl
tessl review fix ./skills/ljg-qa/SKILL.mdW011: Third-party content exposure detected (indirect prompt injection risk).
What this means
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
Why it was flagged
Workflows/Extract Step 1 在输入为 URL 时调用 WebFetch 读取网页正文、或在输入为“论文/书名”时先 WebSearch 再 WebFetch 抓取对应内容，从而在运行时摄取由外部用户/作者提交或发布的自由文本。
- Repository
lijigang/ljg-skills
- Revision
71d4e51
- Audited
- Security analysis
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