风险评分

100/100 (Very Low)

OpenClaw: benign
VirusTotal: benign
StaticScan: clean

Qc Order Forensics

作者: tltby12341
Slug:qc-order-forensics
版本:1.0.0
更新时间:2026-03-17 23:31:48
风险信息

OpenClaw: benign

查看 OpenClaw 分析摘要(前 200 字预览)
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...

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VirusTotal: benign VT 报告

静态扫描: clean

No suspicious patterns detected.
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原始 JSON 数据
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    "latestVersion": {
        "_creationTime": 1773757255978,
        "_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": {
            "clawdis": {
                "emoji": "🔬",
                "requires": {
                    "bins": [
                        "python3"
                    ]
                }
            }
        },
        "version": "1.0.0"
    },
    "owner": {
        "_creationTime": 0,
        "_id": "publishers:missing",
        "displayName": "tltby12341",
        "handle": "tltby12341",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/30487767?v=4",
        "kind": "user",
        "linkedUserId": "kn720ybkpsqy18gr93ad6xqd398338zp"
    },
    "ownerHandle": "tltby12341",
    "skill": {
        "_creationTime": 1773757255978,
        "_id": "kd7891d2bjx74s9sww73t7ea8x8336wz",
        "badges": [],
        "createdAt": 1773757255978,
        "displayName": "Qc Order Forensics",
        "latestVersionId": "k975tv9490ccbyt27393zd4e2x832ptp",
        "ownerUserId": "kn720ybkpsqy18gr93ad6xqd398338zp",
        "slug": "qc-order-forensics",
        "stats": {
            "comments": 0,
            "downloads": 50,
            "installsAllTime": 0,
            "installsCurrent": 0,
            "stars": 0,
            "versions": 1
        },
        "summary": "Forensic diagnosis engine for backtest order data — trade quality, ROI attribution, monthly cashflow, drawdown root-cause analysis, and LLM-readable reports.",
        "tags": {
            "latest": "k975tv9490ccbyt27393zd4e2x832ptp"
        },
        "updatedAt": 1773761508256
    }
}