Caveat verdict

glm-calibration

glm-lake-mendota-glm-calibration

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

Documents GLM hydrological model calibration using scipy optimization and subprocess to run a local 'glm' binary — all capabilities match the stated scientific modeling purpose.

⚠ 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.

80
security
80
transparency
70
maintenance

Findings (1)

Pattern match high

subprocess execution — runs system commands from Python

SKILL.md · code · subprocess.run(

Why the tier is capped

Execution sink present in raw bytes (Hard Floor: class D). Final tier capped at Caution — cannot be lifted by any downgrade, example-payload opt-in, or allowlist.

Permissions & capabilities

No declared permissions — minimal attack surface.

process_exec

Is this flag fair?

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