Caveat verdict

pywayne-llm-chat-bot

chat-bot

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

Python library wrapper for OpenAI-compatible LLM chat; credentials are passed explicitly by the user and no data is exfiltrated beyond the configured LLM endpoint.

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.

35
security
50
transparency
70
maintenance

Permission integrity

Code accesses API keys/tokens but declares no environment variables

credential_access

Findings (2)

Pattern match critical

Possible hardcoded credential

SKILL.md ยท code ยท api_key="your_api_key

Pattern match high

Possible prompt injection โ€” attempts to redefine agent identity

SKILL.md ยท code ยท You are now

Permissions & capabilities

No declared permissions โ€” minimal attack surface.

credential_access

Is this flag fair?

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