Caveat verdict

tesla

tesla-tessie

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

Controls Tesla vehicles via the official Tessie API using a user-supplied API key from environment; all operations match the stated vehicle control purpose.

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.

63
security
50
transparency
70
maintenance

Permission integrity

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

package_install

Findings (2)

Pattern match critical

Possible hardcoded credential

SKILL.md ยท code ยท API_KEY="your-api-key-here

Pattern match low

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

scripts/check-updates.py ยท prose ยท downgraded ยท os.environ.get(

Permissions & capabilities

No declared permissions โ€” minimal attack surface.

package_installcredential_access

Is this flag fair?

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