Caveat verdict

didit-biometric-age-estimation

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

Age estimation from facial images via the official Didit standalone API; behavior matches the stated compliance and age-gating use case with standard API key authentication.

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
60
transparency
90
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 API_KEY="your_api_key

Pattern match low

Contains shortened/invite URL

SKILL.md ยท code ยท t.me/v3

Pattern match low

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

scripts/estimate_age.py ยท prose ยท downgraded ยท os.environ.get(

Permissions & capabilities

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

package_install

Is this flag fair?

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