Caveat verdict

gm-quant

gmquant

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

Quantitative trading SDK skill for the Juejin platform; accesses the trading API token and connects to a local terminal, consistent with the stated purpose of strategy development and backtesting.

⚠ 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
60
transparency
90
maintenance

Findings (4)

Pattern match critical

Possible hardcoded credential

references/01-quick-start.md · code · token='YOUR_TOKEN

Pattern match medium

Python os.environ.get — reads environment variable

SKILL.md · code · os.environ.get(

Pattern match medium

subprocess execution — runs system commands from Python

scripts/run_strategy.py · prose · downgraded · subprocess.run(

Pattern match low

Popular HTTP library — network access

SKILL.md · prose · downgraded · got

Why the tier is capped

Execution sink present in raw bytes (Hard Floor: class D). Final tier capped at Caution — cannot be lifted by any downgrade, example-payload opt-in, or allowlist.

Permissions & capabilities

No declared permissions — minimal attack surface.

credential_access

Is this flag fair?

Check another skill Browse the registry Auditing your own skills or configs? Use the API