Caveat verdict

AI Email Agent

ai-email-agent

88
🟢 Trusted
No high-risk patterns surfaced by the deep scan — automated capability review, not behavioral proof.

An LLM-powered email auto-reply system that processes emails via IMAP/SMTP using user-provided credentials and an LLM API key; all capabilities (classification, sentiment, auto-reply) match the stated e-commerce customer service purpose with no evidence of data exfiltration or malicious behavior.

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

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

60
security
60
transparency
90
maintenance

Permission integrity

Installs packages at runtime — transitive dependencies are not auditable

package_install

Findings (3)

Pattern match critical

Possible hardcoded credential

SKILL.md · code · API_KEY="sk-your-key

Pattern match low

Python os.environ.get — reads environment variable

agent/config_loader.py · prose · downgraded · os.environ.get(

Pattern match low

References webhook/callback URL

config.yaml · prose · downgraded · WEBHOOK_URL

Permissions & capabilities

Requires 3 environment variables. (3 sensitive: LLM_API_KEY, IMAP_PASSWORD, SMTP_PASSWORD). Requires 1 system binary.

package_install

Is this flag fair?

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