ClawAudit verdict

quant-data-platform

88
🟢 Trusted
Low risk — reviewed by ClawAudit, behavior matches stated purpose

Quantitative data infrastructure for Chinese A-share markets using Tushare and akshare; package_install is for standard data science libraries and the Tushare token is used only for the declared data API.

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

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

63
security
90
transparency
90
maintenance

Permission integrity

Installs packages at runtime — transitive dependencies are not auditable

package_install

Findings (2)

Pattern match critical

Possible hardcoded credential

SKILL.md · code · token='your_token

Pattern match low

Python os.getenv — reads environment variable

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

Permissions & capabilities

No declared permissions — minimal attack surface.

package_install

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