Caveat verdict

ach-volume-estimator

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

The skill estimates Dwolla's end-of-month ACH transaction volume from daily KPI emails. It uses Gmail and Python scripts to extract data and calculate projections, but does not contain any malicious or deceptive behavior.

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.

88
security
90
transparency
70
maintenance

Findings (2)

Pattern match medium

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

SKILL.md ยท prose ยท downgraded ยท http://192.168.1.60

Pattern match low

Python urllib.request โ€” network access

scripts/revenue_forecast.py ยท prose ยท downgraded ยท urllib.request

Permissions & capabilities

No declared permissions โ€” minimal attack surface.

Is this flag fair?

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