风险评分

100/100 (Very Low)

OpenClaw: benign
VirusTotal: benign
StaticScan: clean

48h-Expert-Methodology

作者: Lawliet-ai
Slug:48h-expert
版本:1.0.1
更新时间:2026-03-20 19:16:46
风险信息

OpenClaw: benign

查看 OpenClaw 分析摘要(前 200 字预览)
The skill's instructions are coherent with its stated purpose (compressing expert knowledge into a structured JSON), but there are a few minor operational omissions and privacy/operational considerati...

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原始 JSON 数据
{
    "latestVersion": {
        "_creationTime": 1774004256765,
        "_id": "k97efm2md2fwf5z9f3m0q9qgnd838we7",
        "changelog": "- Introduced a strictly structured output format; all results must be serialized to the new `schema.json`.\n- Added a new phase: Data serialization and validation, with outputs written to `~\/.openclaw\/swarm_tmp\/expert_output.json`.\n- Expanded source requirements to include government and industry white papers.\n- Enforced several hard constraints: referenceability, strict schema validation, and deterministic output with no extraneous text.\n- Replaced unstructured analysis with schema-driven, interoperable data for more robust downstream integration.",
        "changelogSource": "user",
        "createdAt": 1774004256765,
        "version": "1.0.1"
    },
    "owner": {
        "_creationTime": 0,
        "_id": "publishers:missing",
        "displayName": "Lawliet-ai",
        "handle": "lawliet-ai",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/261297622?v=4",
        "kind": "user",
        "linkedUserId": "kn782akc2006dnzgqhjawaaerd831hvw"
    },
    "ownerHandle": "lawliet-ai",
    "skill": {
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        "_id": "kd7a6eeptc4xa4ym589vys4dwx8311y7",
        "badges": [],
        "createdAt": 1773646527425,
        "displayName": "48h-Expert-Methodology",
        "latestVersionId": "k97efm2md2fwf5z9f3m0q9qgnd838we7",
        "ownerUserId": "kn782akc2006dnzgqhjawaaerd831hvw",
        "slug": "48h-expert",
        "stats": {
            "comments": 0,
            "downloads": 127,
            "installsAllTime": 2,
            "installsCurrent": 2,
            "stars": 0,
            "versions": 2
        },
        "summary": "A meta-learning method compressing deep expertise into 48 hours by extracting core mental models, expert debates, and critical assessment questions for mastery.",
        "tags": {
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}