pytdc
Therapeutics Data Commons. AI-ready drug discovery datasets (ADME, toxicity, DTI), benchmarks, scaffold splits, molecular oracles, for therapeutic ML and pharmacological prediction.
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Low
Low-risk findings worth noting
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tessl review fix ./backend/cli/skills/chemistry/pytdc/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
The required workflow uses TDC dataset-loading in the scripts (e.g., `ADME(name=...)`, `DTI(name=...)`, `MolGen(name=...)`), which at runtime will typically fetch/ingest dataset content (outsider-authored public datasets) as readable text/data into the agent process rather than any bundled reference text; the README itself also points to external curated datasets.
- Repository
- synthetic-sciences/openscience
- Commit
3a6c3a9
- Audited
- Security analysis
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