OpenClaw: benign
VirusTotal: benign
StaticScan: clean
OpenClaw: benign
The skill's code, declared requirements, and SKILL.md are consistent with a local Python-based backtest order forensics tool and do not request unrelated credentials or network access; however the pro... [内容已截断]
VirusTotal: benign VT 报告
静态扫描: clean
No suspicious patterns detected.
README 未提供
无文件信息
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"_id": "k975tv9490ccbyt27393zd4e2x832ptp",
"changelog": "Initial release of qc-order-forensics.\n\n- Provides a forensic diagnosis engine for QuantConnect backtest order data.\n- Generates LLM-readable reports covering trade quality, ROI attribution, monthly cashflow, and drawdown root-cause analysis.\n- Supports input via standard QC orders.csv and result.json files.\n- Identifies metrics like zero rate, windfall trades, monthly\/annual cash flow, top winners\/losers, and drawdown streaks.\n- Includes clear reporting rules, required input formats, and key metrics to monitor.",
"changelogSource": "auto",
"createdAt": 1773757255978,
"parsed": {
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"skill": {
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"displayName": "Qc Order Forensics",
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"slug": "qc-order-forensics",
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"versions": 1
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"summary": "Forensic diagnosis engine for backtest order data — trade quality, ROI attribution, monthly cashflow, drawdown root-cause analysis, and LLM-readable reports.",
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