Submit compact bioRxiv and medRxiv API requests for details, publication-linkage, and DOI lookups. Use when a user wants concise preprint metadata summaries
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Low
Low-risk findings worth noting
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.
Yes—`SKILL.md` requires using `scripts/rest_request.py` to call user-supplied `path` URLs at runtime, and `rest_request.py` parses and injects the HTTP response body (e.g., `response.json()` / `response.text` compacted into `records`/`summary` or `text_head`) into the agent-visible LLM context as the tool’s output.
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