Caveat verdict

autoloop-controller

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

A skill improvement automation loop with convergence detection and cost controls; dynamic_eval is used for skill quality evaluation within a documented improvement pipeline, not for executing arbitrary remote code.

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.

70
security
80
transparency
70
maintenance

Findings (1)

Pattern match critical

Pipe to python โ€” executes piped content as Python code

SKILL.md ยท code ยท | python3

Why the tier is capped

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

Permissions & capabilities

No declared permissions โ€” minimal attack surface.

dynamic_eval

Is this flag fair?

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