tooluniverse-metabolomics
Metabolomics research — metabolite identification, study analysis, and database searches across HMDB, MetaboLights, Metabolomics Workbench, KEGG. Use for annotating mass-spec features to known metabolites, finding metabolomics studies of a disease, and structured metabolomics research reports with metabolite-pathway mapping.
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Low
Low-risk findings worth noting
Fix and improve this skill with Tessl
tessl review fix ./plugin/skills/tooluniverse-metabolomics/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
In `python_implementation.py`, outsider-provided `metabolite_list`/`study_id`/`search_query` are used to query and ingest free-text fields from external databases (HMDB/MetaboLights/Metabolomics Workbench/PubChem) and the returned study previews/details are incorporated into the generated markdown.
- Repository
- mims-harvard/ToolUniverse
- Commit
089eb8e
- Audited
- Security analysis
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