diffdock
Diffusion-based molecular docking. Predict protein-ligand binding poses from PDB/SMILES, confidence scores, virtual screening, for structure-based drug design. Not for affinity prediction.
65
80%
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Low
Low-risk findings worth noting
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tessl review fix ./skills/pharma/diffdock/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
In the DiffDock required workflows, runtime inputs are protein/ligand data provided via local file paths and user-supplied SMILES/CSV fields (e.g., `--protein_path`/`--ligand`/`--protein_ligand_csv`), so outsider free text can be ingested through those parameters without any trusted selection step.
- Repository
- wu-yc/LabClaw
- Commit
df37802
- Audited
- Security analysis
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