Caveat verdict

glm-basics

glm-lake-mendota-glm-basics

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

The skill provides documentation and examples for using the General Lake Model (GLM) for lake temperature simulation. It includes bash commands for running GLM and Python code for modifying configuration files. The capabilities used (file_read) are legitimate and transparent.

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.

93
security
70
transparency
70
maintenance

Permission integrity

Performs file operations but does not declare file-accessing binaries

file_read

Permissions & capabilities

No declared permissions โ€” minimal attack surface.

file_read

Is this flag fair?

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