Caveat verdict

openclaw-quant

openclaw-quant-skill

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

Quantitative trading system for cryptocurrency backtesting and live trading using user-provided exchange API keys; behavior matches stated purpose of strategy testing and automated trading on user exchange accounts.

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.

53
security
90
transparency
90
maintenance

Permission integrity

Installs packages at runtime โ€” transitive dependencies are not auditable

package_install

Findings (3)

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-ZH.md ยท code ยท os.getenv(

Pattern match low

Opens WebSocket connection

SKILL.md ยท prose ยท downgraded ยท WebSocket

Permissions & capabilities

No declared permissions โ€” minimal attack surface.

package_install

Is this flag fair?

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