Caveat verdict

pydantic-ai-model-integration

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

Pure reference documentation for configuring LLM providers in PydanticAI; no code that exfiltrates credentials and credential_access/network_in capabilities reflect legitimate API key usage for LLM calls.

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.

45
security
50
transparency
70
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 critical

Possible hardcoded credential

SKILL.md ยท code ยท api_key='your-key

Pattern match medium

Python os.getenv โ€” reads environment variable

SKILL.md ยท code ยท os.getenv(

Permissions & capabilities

No declared permissions โ€” minimal attack surface.

credential_accessagent_memorynetwork_in

Is this flag fair?

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