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.
60
70%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
View guide
Low
Low-risk findings worth noting
Fix and improve this skill with Tessl
tessl review fix ./skills/ljg-qa/SKILL.mdLow
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
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.
Workflows/Extract.md Step 1 在运行时会对 URL 进行 WebFetch、对 arXiv 链接抓取 HTML、以及读取用户指定的本地 PDF/文件内容,这些属于“公共网页/外部文件内容”的读取路径,会把外部(非操作用户所写)的自由文本进入后续 LLM 抽取与生成上下文。
0e78094
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.