风险评分

100/100 (Very Low)

OpenClaw: benign
VirusTotal: benign
StaticScan: clean

Paper Reproduction by Python

作者: Celynn Moonlight
Slug:paper-repro-python
版本:1.0.1
更新时间:2026-03-21 14:36:46
风险信息

OpenClaw: benign

查看 OpenClaw 分析摘要(前 200 字预览)
The skill's instructions and requested access are coherent with a paper-reproduction task, but it assumes external tools (OCR/TeX/PDF tooling) and will read and write files in the working folder — so ...

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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": 1774074752363,
        "_id": "k976gps8tjkjjk5hctsq5n6rph83bs69",
        "changelog": "**Added support for user-preprocessed documents and implemented experiment logging, output persistence, and results verification.**\n\n- Expanded input priority: Now supports user-preprocessed files (Markdown, JSON, paper images) as secondary sources, before falling back to PDF.\n- New logging and persistence rules: All experiments must save logs, outputs, and configuration snapshots for reproducibility.\n- Added mandatory results verification: Requires direct comparison between reproduction outputs and paper-reported results, with detailed discrepancy analysis.\n- Refined workflow steps and clarified source extraction order.\n- README and documentation requirements remain, but now assume richer provenance for extracted content.",
        "changelogSource": "user",
        "createdAt": 1774074752363,
        "parsed": {
            "clawdis": {
                "emoji": "📄"
            }
        },
        "version": "1.0.1"
    },
    "owner": {
        "_creationTime": 0,
        "_id": "publishers:missing",
        "displayName": "Celynn Moonlight",
        "handle": "celynnmoonlight",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/256569650?v=4",
        "kind": "user",
        "linkedUserId": "kn7ffcq56e7n5t7v0rf2qpjzm182e3xs"
    },
    "ownerHandle": "celynnmoonlight",
    "skill": {
        "_creationTime": 1773161189967,
        "_id": "kd7cmp7dbma021grra82j6qznd82mges",
        "badges": [],
        "createdAt": 1773161189967,
        "displayName": "Paper Reproduction by Python",
        "latestVersionId": "k976gps8tjkjjk5hctsq5n6rph83bs69",
        "ownerUserId": "kn7ffcq56e7n5t7v0rf2qpjzm182e3xs",
        "slug": "paper-repro-python",
        "stats": {
            "comments": 0,
            "downloads": 169,
            "installsAllTime": 0,
            "installsCurrent": 0,
            "stars": 0,
            "versions": 2
        },
        "summary": "This skill should be used when the user asks to \"reproduce a paper\", \"implement paper methods in Python\", \"extract paper content to Markdown\", or works on pa...",
        "tags": {
            "latest": "k976gps8tjkjjk5hctsq5n6rph83bs69"
        },
        "updatedAt": 1774075006627
    }
}