Caveat verdict

molecular-docking-autodock

88
🟢 Trusted
No high-risk patterns surfaced by the deep scan — automated capability review, not behavioral proof.

Scientific tool for protein-ligand docking that installs standard scientific packages (autodock-vina, pymol, rdkit) and runs computations locally; all network activity is package installation with no exfiltration of data.

⚠ Flagged for review — coarse, uncorroborated signal, not a confirmed exploit. Review the config yourself before installing.

Automated static analysis — not a human review. Caveat flags capabilities, not confirmed intent, and can produce false positives. Disagree with this verdict? Use Dispute below.

50
security
60
transparency
70
maintenance

Permission integrity

Makes network requests but does not declare curl/wget in required binaries

network_out

Installs packages at runtime — transitive dependencies are not auditable

package_install

Findings (3)

Pattern match medium

conda install — installs packages via conda

SKILL.md · code · conda install

Pattern match medium

subprocess execution — runs system commands from Python

scripts/molecular_docking.py · prose · downgraded · subprocess.run(

Pattern match medium

subprocess with shell=True — command injection vector

scripts/molecular_docking.py · prose · downgraded · subprocess.run(cmd, shell=True

Why the tier is capped

Execution sink present in raw bytes (Hard Floor: class D). Final tier capped at Caution — cannot be lifted by any downgrade, example-payload opt-in, or allowlist.

Permissions & capabilities

No declared permissions — minimal attack surface.

package_installnetwork_out

Is this flag fair?

Check another skill Browse the registry Auditing your own skills or configs? Use the API