Caveat verdict

vmamba-env-doctor

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

Environment setup guide for VMamba ML framework that provides conda/pip commands for installing dependencies; standard developer tooling documentation with no suspicious behavior.

⚠ 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.

45
security
70
transparency
70
maintenance

Permission integrity

Installs packages at runtime — transitive dependencies are not auditable

package_install

Findings (3)

Pattern match high

References sudo — requests elevated privileges

SKILL.md · code · sudo

Pattern match high

Pipe to python — executes piped content as Python code

README-CN.md · prose · downgraded · | Python

Pattern match medium

conda install — installs packages via conda

SKILL.md · code · conda install

Permissions & capabilities

No declared permissions — minimal attack surface.

package_install

Is this flag fair?

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