Caveat verdict

auto-memory-distiller

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

Background skill that incrementally distills OpenClaw conversation JSONL logs into structured local markdown memory cards using the Gemini API (user's own key from their own env file) with safety filtering to redact API keys; reading user's own conversation history for personal memory distillation is the stated legitimate purpose.

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.

93
security
50
transparency
70
maintenance

Permission integrity

Installs packages at runtime โ€” transitive dependencies are not auditable

package_install

Findings (1)

Pattern match low

Python os.getenv โ€” reads environment variable

distiller.py ยท prose ยท downgraded ยท os.getenv(

Permissions & capabilities

No declared permissions โ€” minimal attack surface.

package_install

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