Caveat verdict

submit-directories

88
๐ŸŸข Trusted
No high-risk patterns surfaced by the deep scan โ€” automated capability review, not behavioral proof.

A product directory submission tool that uses environment variables for the user own product credentials and automates form submissions to public AI directories; credentials are the user own and the purpose is transparent.

โš  Flagged for review โ€” coarse, uncorroborated signal, not a confirmed exploit. Review the config yourself before installing.

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

60
security
70
transparency
70
maintenance

Permission integrity

Installs packages at runtime โ€” transitive dependencies are not auditable

package_install

Findings (3)

Pattern match critical

Possible hardcoded credential

SKILL.md ยท code ยท PASSWORD="throwaway-pass

Pattern match low

Python urllib.request โ€” network access

analyze_directories.py ยท prose ยท downgraded ยท urllib.request

Pattern match low

Python os.environ.get โ€” reads environment variable

submit_directories.py ยท prose ยท downgraded ยท os.environ.get(

Permissions & capabilities

No declared permissions โ€” minimal attack surface.

package_install

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