Caveat verdict

ralph-wiggum-loop

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

AI code improvement loop skill that calls a locally running LM Studio instance (127.0.0.1:1234); all network calls are to localhost, the iterative critic/fixer pattern is well-documented, and behavior matches the stated code improvement purpose.

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.

43
security
50
transparency
70
maintenance

Permission integrity

Makes network requests but does not declare curl/wget in required binaries

network_out

Findings (3)

Pattern match high

HTTP request to bare IP address โ€” common in malicious payloads

SKILL.md ยท code ยท http://127.0.0.1

Pattern match high

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

scripts/ralph-loop.sh ยท prose ยท downgraded ยท | python3

Pattern match low

Python os.getenv โ€” reads environment variable

scripts/critic.py ยท prose ยท downgraded ยท os.getenv(

Permissions & capabilities

No declared permissions โ€” minimal attack surface.

network_out

Is this flag fair?

Check another skill Browse the registry Auditing your own skills or configs? Use the API