Caveat verdict

1688-distribution-product-selection-newton

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

The skill is designed for product selection and analysis within the 1688 distribution context, utilizing authentication and data retrieval without apparent malicious intent.

⚠ 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.

63
security
70
transparency
70
maintenance

Permission integrity

Installs packages at runtime — transitive dependencies are not auditable

package_install

Findings (4)

Pattern match medium

subprocess execution — runs system commands from Python

examples/check_env.py · prose · downgraded · subprocess.check_call(

Pattern match medium

Accesses OpenClaw config/secrets directly

README.md · prose · downgraded · ~/.openclaw/openclaw.json

Pattern match medium

importlib.import_module — dynamic module loading

TEST_REPORT.md · code · importlib.import_module(

Pattern match low

Python os.environ.get — reads environment variable

scripts/_sys/_auth.py · prose · downgraded · os.environ.get(

Permissions & capabilities

Requires 1 system binary.

package_install

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