paper-search
Academic paper search via Google Scholar using Serper API
61
71%
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Low
Low-risk findings worth noting
Fix and improve this skill with Tessl
tessl review fix ./examples/nvidia-deep-researcher/skills/paper-search/SKILL.mdLow
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
W011: Third-party content exposure detected (indirect prompt injection risk).
What this means
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.
Why it was flagged
SKILL.md describes a runtime workflow that calls `paper_search` against Google Scholar via the Serper API and returns “Snippet…from the paper abstract or body,” meaning outsider-authored web content is ingested into the agent’s LLM context as result markdown.
- Repository
- open-gitagent/opengap
- Commit
d7a8e2e
- Audited
- Security analysis
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