当用户明确要求"做系统综述/文献综述/related work/相关工作/文献调研",或要求使用旧名 systematic-literature-review skill 时使用。AI 自定检索词,多源检索→去重→AI 逐篇阅读并评分(1–10分语义相关性与子主题分组)→按高分优先比例选文→自动生成"综/述"字数预算→资深领域专家自由写作(固定摘要/引言/子主题/讨论/展望/结论),保留正文字数与参考文献数硬校验,强制导出 PDF 与 Word。支持多语言翻译与智能编译(en/zh/ja/de/fr/es)。
78
100%
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Low
Low-risk findings worth noting
Low
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.
该 Skill 在运行时通过检索阶段(OpenAlex/MCP/等)获取并把外部文献的标题与摘要等可读文本喂给 LLM 进行逐篇 AI 评分;这些文本来自非用户选择引入的外部数据源,属于“公共网络/数据库返回的非用户自写自由文本进入上下文”的间接提示注入风险。
01044a6
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.