Caveat verdict

tikto-automation

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

A TikTok carousel generation skill using OpenAI API for image and text generation and an optional Postiz API for draft creation; all credentials are user-supplied environment variables with no unusual data flows beyond the documented APIs.

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.

68
security
70
transparency
70
maintenance

Findings (2)

Pattern match critical

Possible hardcoded credential

README.md ยท code ยท API_KEY = 'postiz-...

Pattern match low

Python os.getenv โ€” reads environment variable

postiz_api_integration.py ยท prose ยท downgraded ยท os.getenv(

Permissions & capabilities

No declared permissions โ€” minimal attack surface.

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