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Skill scan report

stock-trading-agents-light

View on GitHub
49 Medium Automated analysis flagged 2 potential risk patterns.

What this skill does

Stock trading signal analysis framework with multi-agent debate mechanism for investment recommendations

github/leoyeai - Environment Variable Usage - 2.1k stars

ThreatsEnvironment Variable Usage

Threat analysis

Environment Variable Usage2 findings

Skill info

Nameleoyeai/stock-trading-agents-light
Registrygithub
Versione5199b5
PURLpkg:github/LeoYeAI/openclaw-master-skills@e5199b5?skill=stock-trading-agents-light
Stars2.1k

Assessments (2)

Environment Variable Usage2 findings HIGH
HIGH

Environment Variable Usage via local-llm-review

scripts/get_fundamentals.py

TUSHARE_TOKEN = os.environ.get('TUSHARE_TOKEN')
if not TUSHARE_TOKEN:
    print("错误: 请设置环境变量 TUSHARE_TOKEN", file=sys.stderr)
    sys.exit(1)
ts.set_token(TUSHARE_TOKEN)
pro = ts.pro_api()
HIGH

Environment Variable Usage via local-llm-review

scripts/get_market_data.py

TUSHARE_TOKEN = os.environ.get('TUSHARE_TOKEN')
if not TUSHARE_TOKEN:
    print("错误: 请设置环境变量 TUSHARE_TOKEN", file=sys.stderr)
    sys.exit(1)
ts.set_token(TUSHARE_TOKEN)
pro = ts.pro_api()

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How Anomity governs this at runtime

Scan-time vetting tells you what a skill says it will do. Anomity's Endpoint Sensor sees what agents actually do: it discovers skills alongside every other AI artifact on the endpoint, and runtime governance can allow, deny, or log the tool calls a skill triggers. Policy violations route to your SIEM, Slack, email, or Jira, backed by a queryable 90-day audit trail.

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Methodology and disputes

Every skill is assessed by the Anomity Skill Intelligence engine against its public source; findings indicate risk patterns, not confirmed exploitation. Maintainer of stock-trading-agents-light? Report an issue or request a rescan.

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