Caveat verdict

skills

pullstar-1on1

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

Fetches GitHub activity via the GitHub API using a user-supplied PAT, processes data locally, and sends only the prepared payload to the user's own LLM provider; data flow is transparent and documented.

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.

85
security
90
transparency
70
maintenance

Findings (3)

Pattern match medium

subprocess execution โ€” runs system commands from Python

run_brief.py ยท prose ยท downgraded ยท subprocess.run(

Pattern match low

Python os.getenv โ€” reads environment variable

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

Pattern match low

Popular HTTP library โ€” network access

scripts/score.py ยท prose ยท downgraded ยท got

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.

Is this flag fair?

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