tooluniverse-sdk
Build AI scientist systems with the ToolUniverse Python SDK for scientific research. Covers the 3 calling patterns (`tu.run` portable dict API, `tu.tools.X` function API, direct class instantiation), tool loading, batch execution, MCP server integration, and embedding-based tool search. Use for SDK programming, custom tool composition, benchmarking pipelines, and integrating ToolUniverse into research workflows.
87%
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Low
Low-risk findings worth noting
The canonical home for this skill is tooluniverse-sdk in mims-harvard/ToolUniverse
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 required workflow calls tools such as PubMed_search_articles and ChEMBL_search_activities that the agent actively queries, so outsider-authored literature text (abstracts, titles) enters context only after the agent selects a search, which is low exposure.
- Repository
mims-harvard/ToolUniverse
- Revision
37bb81a
- Audited
- Security analysis
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