Caveat verdict

bowlong-quant-aio

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

A-share quantitative trading workstation using tushare/akshare data APIs and optional QMT live trading; reads credentials from environment variables and performs standard financial data fetching and trading operations matching the stated purpose.

⚠ 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.

53
security
80
transparency
90
maintenance

Permission integrity

Installs packages at runtime — transitive dependencies are not auditable

package_install

Findings (3)

Pattern match critical

Possible hardcoded credential

SKILL.md · code · TOKEN="your_token_here

Pattern match medium

HTTP request to bare IP address — common in malicious payloads

scripts/executor_huaxin.py · prose · downgraded · http://127.0.0.1

Pattern match low

Python os.getenv — reads environment variable

scripts/risk_monitor.py · prose · downgraded · os.getenv(

Permissions & capabilities

Requires 1 environment variable. (1 sensitive: TUSHARE_TOKEN). Requires 1 system binary.

package_installcredential_access

Is this flag fair?

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