Search and progressively read open-access academic papers through DeepXiv. Use when the user wants layered paper access, section-level reading, trending papers, or DeepXiv-backed literature retrieval.
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Low
Low-risk findings worth noting
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tessl review fix ./skills/deepxiv/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.
Yes—Step 3 runs DeepXiv “web search” (`python3 "$DEEPXIV_FETCHER" wsearch "QUERY"` / `deepxiv wsearch ... --output json`), which at runtime fetches public web content and then feeds the resulting readable text/JSON into the agent’s context when presenting results.
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