Caveat verdict

arcticdb-timeseries

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

Financial time-series data storage and querying skill using ArcticDB with AWS S3 backend for documented quant finance workflows; AWS credential use is transparent and purpose-aligned for data access, no exfiltration or malicious behavior present.

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.

98
security
70
transparency
70
maintenance

Findings (1)

Pattern match low

Python os.environ.get โ€” reads environment variable

references/LOCKS.md ยท prose ยท downgraded ยท os.environ.get(

Why the tier is capped

Execution sink present in raw bytes (Hard Floor: class B). 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.

Is this flag fair?

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