Quantitative drug-target validation pipeline. Scores druggability, selectivity, safety profile, ADMET feasibility, and structural tractability with a composite Target Validation Score (0-100) and GO/NO-GO recommendation. Use for go/no-go decisions on a target before commit-to-medchem, target prioritization across a list, and target-deselection rationale.
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88%
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Low
Low-risk findings worth noting
Low
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.
Input text provided by the outsider (skill parameters like “target”/“disease”, i.e., free-form identifiers) is used to drive tool queries, but the workflow’s required runtime ingestion is only first-party structured database results (e.g., OpenTargets/ChEMBL/PubMed API responses) rather than reading arbitrary outsider-authored free text streams without selecting specific items.
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