Caveat verdict

didit-liveness-detection

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

Passive liveness detection from a single selfie image via the official Didit API; legitimate anti-spoofing and presentation attack detection use case.

⚠ 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.

65
security
80
transparency
90
maintenance

Findings (3)

Pattern match critical

Possible hardcoded credential

SKILL.md · code · API_KEY="your_api_key

Pattern match low

Contains shortened/invite URL

SKILL.md · code · t.me/v3

Pattern match low

Python os.environ.get — reads environment variable

scripts/check_liveness.py · prose · downgraded · os.environ.get(

Permissions & capabilities

Requires 1 environment variable. (1 sensitive: DIDIT_API_KEY).

Is this flag fair?

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