tooluniverse-multiomic-disease-characterization
Comprehensive disease characterization across genomics, transcriptomics, proteomics, and pathways for systems-level understanding. Identifies therapeutic opportunities and biomarker candidates by integrating multi-layer molecular data. Use for full-omics disease deep-dive reports, mechanism mapping, and biomarker-and-target identification from multi-omics data.
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Low
Low-risk findings worth noting
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tessl review fix ./plugin/skills/tooluniverse-multiomic-disease-characterization/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
At runtime the required workflow takes the user-supplied `disease` free text, uses it in Phase 0 disambiguation/search (e.g., `OpenTargets_get_disease_id_description_by_name`), then feeds resulting identifiers into downstream tools to retrieve data and generate the report.
- Repository
- mims-harvard/ToolUniverse
- Commit
089eb8e
- Audited
- Security analysis
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