tooluniverse-protein-interactions
Protein-protein interaction (PPI) network analysis — STRING (predicted + experimental), BioGRID (curated), SASBDB (small-angle scattering). Distinguishes physical interactions (binding) from functional associations (co-expression, co-regulation). Use for interactome queries, complex partner identification, and pathway-level interaction analysis.
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88%
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Low
Low-risk findings worth noting
Low
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
The runtime workflow in `python_implementation.py` takes outsider-provided `proteins`/`query` strings from the user and sends them to external provider tools (e.g., `tu.tools.STRING_map_identifiers`, `STRING_get_network`, and optionally `SASBDB_search_entries`), meaning untrusted free text influences what the LLM ingests from those APIs at runtime (as returned evidence/metadata).
- Repository
- mims-harvard/ToolUniverse
- Commit
089eb8e
- Audited
- Security analysis
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