Caveat verdict

make-and-model-recogntion

make-and-model-recognition

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

Accesses credentials AND makes external network calls

Uploads user-provided local images to the TrafficEye recognition API to detect vehicle make/model and license plates; behavior matches stated purpose for legitimate traffic analysis use cases.

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.

25
security
70
transparency
70
maintenance

What it does

These are capability combinations: each listed behavior occurs in the skill, but Caveat detects co-occurrence — it does not verify that one flows into another. Read the code to confirm a live chain.

Capability combination high

Accesses credentials AND makes external network calls — potential credential theft

LLM02 · ASI03

Permission integrity

Makes network requests but does not declare curl/wget in required binaries

network_out

Findings (3)

Pattern match critical

Possible hardcoded credential

SKILL.md · code · API_KEY='YOUR_REAL_KEY

Pattern match low

Python urllib.request — network access

recognize_road_user.py · prose · downgraded · urllib.request

Pattern match low

Python os.getenv — reads environment variable

recognize_road_user.py · prose · downgraded · os.getenv(

Permissions & capabilities

Requires 1 environment variable. (1 sensitive: TRAFFICEYE_API_KEY).

network_outcredential_access
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