Caveat verdict

acc-error-memory

45
🟠 Risky
Significant risk patterns flagged — automated deep scan, not behavioral proof.

The skill tracks error patterns for AI agents. While it appears to be for legitimate purposes, the execution sink detection and data encoding capabilities raise concerns.

⚠ 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.

68
security
80
transparency
70
maintenance

Findings (3)

Pattern match high

Pipe to python — executes piped content as Python code

scripts/analyze-day.sh · prose · downgraded · | python3

Pattern match medium

subprocess execution — runs system commands from Python

scripts/calibrate-patterns.sh · prose · downgraded · subprocess.run(

Pattern match low

Python os.environ.get — reads environment variable

scripts/calibrate-patterns.sh · prose · downgraded · os.environ.get(

Why the tier is capped

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

Permissions & capabilities

Requires 2 system binaries.

data_encoding

Is this flag fair?

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