ClawAudit verdict

continuous-learning

long57777-continuous-learning

88
🟢 Trusted
Low risk — reviewed by ClawAudit, behavior matches stated purpose

A local AI memory management workflow that records conversations to a local SQLite store, runs scheduled analysis via an optional LLM API, and sends WeChat notifications; all behaviors are explicitly documented and purpose-matched.

⚠ Flagged for review — coarse, uncorroborated signal, not a confirmed exploit. Review the config yourself before installing.

Automated static analysis — not a human review. ClawAudit flags capabilities, not confirmed intent, and can produce false positives. Disagree with this verdict? Use Dispute below.

65
security
70
transparency
90
maintenance

Permission integrity

Code accesses API keys/tokens but declares no environment variables

credential_access

Accesses agent memory/configuration files

agent_memory

Findings (2)

Pattern match medium

References agent memory files

SKILL.md · code · MEMORY.md

Pattern match medium

subprocess execution — runs system commands from Python

dream/dream_cycle.py · prose · downgraded · subprocess.run(

Why the tier is capped

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

Permissions & capabilities

No declared permissions — minimal attack surface.

agent_memorynetwork_incredential_access

Is this flag fair?

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