This skill should be used when extracting structured data from scientific PDFs for systematic reviews, meta-analyses, or database creation. Use when working with collections of research papers that need to be converted into analyzable datasets with validation metrics.
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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.
Third-party content exposure detected (high risk: 0.90). The skill explicitly calls public third-party APIs (e.g., GBIF, World Flora Online, GeoNames, OpenStreetMap Nominatim, PubChem, NCBI) as part of its required Step 5 validation (see scripts/05_validate_with_apis.py and references/api_reference.md), and those API responses are ingested and used to enrich/validate extracted records—meaning untrusted external content can influence validation and downstream decisions.
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