tooluniverse-adverse-event-detection
Detect and analyze adverse drug event signals using FDA FAERS data, drug labels, disproportionality analysis (PRR, ROR, IC), and biomedical evidence. Generates quantitative safety signal scores (0-100) with evidence grading. Use for post-market surveillance, pharmacovigilance, drug safety assessment, adverse event investigation, and regulatory decision support.
67
82%
Does it follow best practices?
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Adds up to 20 points to the overall score
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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
At runtime, the skill’s required workflow queries and ingests text fields from FAERS “search” tools (e.g., FAERS_search_adverse_event_reports / FAERS_search_reports_by_drug_and_reaction) and FDA label extraction tools (e.g., FDA_get_* returning warning/contraindication text), which can ultimately reflect outsider-authored submissions (FAERS reports) without selecting a specific trusted item first.
- Repository
- wu-yc/LabClaw
- Commit
df37802
- Audited
- Security analysis
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.