Reply to comments (批注) in Word .docx/.doc files: extract comment context, draft replies, write threaded replies back, and validate OOXML.
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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.
Required workflow step “提取批注上下文” runs `scripts/extract_comment_context.py`, which parses `word/document.xml` and `word/comments.xml` from the user-supplied Word/converted document and writes their extracted `comment text` + `anchor_text/paragraph_text` into readable `.md`/`.json` files that the user/LLM then uses to generate replies—so outsider-authored free text from the input document can enter the LLM context via those outputs.
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