Caveat verdict

moltcanvas

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

NFT visual diary platform using Python SDK to post images on Base blockchain; all API calls go to the documented MoltCanvas platform.

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.

50
security
40
transparency
70
maintenance

Permission integrity

Code accesses API keys/tokens but declares no environment variables

credential_access

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

package_install

Findings (1)

Pattern match critical

Possible hardcoded credential

SKILL.md ยท code ยท api_key="your_api_key

Permissions & capabilities

No declared permissions โ€” minimal attack surface.

package_installcredential_access

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