将 RAG 检索结果、文档块或知识图谱概念转换为 OpenMAIC 互动课程。当用户要求将知识库内容、检索到的文档片段、上传的文档、或知识图谱中的概念批量转换为教学课件/互动课堂时使用此技能。支持纯需求生成、基于 PDF 内容的课程生成、和基于概念图遍历的批量课堂生成。
72
88%
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High
Do not use without reviewing
Security
1 high severity finding. You should review these findings carefully before considering using this skill.
The skill handles credentials insecurely by requiring the agent to include secret values verbatim in its generated output. This exposes credentials in the agent’s context and conversation history, creating a risk of data exfiltration.
The skill requires the agent to obtain the user's OpenMAIC access code (an sk- token) and embed it verbatim in the Authorization header when calling the API via the MCP tool, forcing the LLM to handle secret values directly.
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.
SKILL.md 的 Phase 1.1/1.2/4 通过 `knowledge_search`、`wiki_search`/`wiki_read_page` 读取 WeKnora wiki/检索页面内容(外部内容),再把其中的 `content`/`summary`/`chunks` 经 `scripts/rag-to-requirement.py`、`scripts/concept-to-requirement.py` 生成 `requirement`,最终作为 HTTP POST body 的 `requirement` 发送到 OpenMAIC API,等价于把“outsider-authored free text”注入到下游 LLM 上下文中。
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