Provide actionable treatment recommendations for cancer patients based on molecular profile. Interprets tumor mutations, identifies FDA-approved therapies, finds resistance mechanisms, matches clinical trials. Use when oncologist asks about treatment options for specific mutations (EGFR, KRAS, BRAF, etc.), therapy resistance, or clinical trial eligibility.
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Low
Low-risk findings worth noting
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tessl review fix ./skills/med/tooluniverse-precision-oncology/SKILL.mdLow
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.
The workflow reads external first-party biomedical records (e.g., via tool calls like `civic_search_variants`/`civic_get_variant`, `search_clinical_trials`/`get_clinical_trial_eligibility_criteria`, and PubMed/BioRxiv/MedRxiv/OpenAlex searches) rather than any outsider-authored free-text submission path that would let an attacker poison arbitrary text “fed” into the agent without an explicit, trusted search/fetch step.
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