Caveat verdict

openclaw-gpu-bridge

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

ML task offloading plugin sending computations to user-configured remote GPU hosts with explicit per-host API keys; all endpoints are user-specified with no third-party data leakage.

⚠ 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.

48
security
50
transparency
80
maintenance

Permission integrity

Code accesses API keys/tokens but declares no environment variables

credential_access

Installs packages at runtime — transitive dependencies are not auditable

package_install

Findings (3)

Pattern match high

Possible hardcoded credential

gpu-service/tests/test_gpu_service.py · prose · downgraded · api_key="test-secret

Pattern match medium

HTTP request to bare IP address — common in malicious payloads

gpu-service/README.md · prose · downgraded · http://0.0.0.0

Pattern match low

Python os.environ.get — reads environment variable

gpu-service/device.py · prose · downgraded · os.environ.get(

Permissions & capabilities

No declared permissions — minimal attack surface.

credential_accesspackage_install

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