Caveat verdict

linkedin-monitor

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

LinkedIn inbox monitoring with configurable autonomy levels; agent_memory used only for state tracking to prevent duplicate notifications; all behavior transparent and user-configured.

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.

65
security
100
transparency
100
maintenance

Permission integrity

Accesses agent memory/configuration files

agent_memory

Findings (3)

Pattern match critical

Recursive delete from root or home โ€” destructive command

docs/TROUBLESHOOT.md ยท code ยท rm -rf ~

Pattern match low

pip3 install โ€” installs Python packages at runtime

scripts/lk.py ยท prose ยท downgraded ยท pip3 install

Pattern match low

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

scripts/lk.py ยท prose ยท downgraded ยท os.environ.get(

Permissions & capabilities

No declared permissions โ€” minimal attack surface.

agent_memory

Is this flag fair?

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