风险评分

76/100 (Low)

OpenClaw: benign
VirusTotal: suspicious
StaticScan: unknown

Deep Research

作者: Pengfei Ni
Slug:deep-research-skill
版本:0.1.0
更新时间:2026-03-24 12:48:31
风险信息

OpenClaw: benign

查看 OpenClaw 分析摘要(前 200 字预览)
The skill's instructions, requested capabilities, and file/network usage are coherent with a multi-agent deep research orchestration workflow; nothing requested is disproportionate to its stated purpo...

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VirusTotal: suspicious VT 报告

静态扫描: unknown

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原始 JSON 数据
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        "_id": "k97bvp2yznr9mpdx4s7v238xbs8205m2",
        "changelog": "deep-research-skill v0.1.0\n\n- Initial release of a multi-Agent workflow for in-depth research tasks, supporting automated goal decomposition and parallel execution using Claude Code's non-interactive mode.\n- Enforces a step-by-step process: goal clarification, parallel subgoal scheduling, data collection\/aggregation, section-based refinement, and structured report delivery as files.\n- Prioritizes internet access through installed skills, then MCP (firecrawl > exa), with fallback to basic web fetch\/search only if necessary.\n- Implements strict logging, permission control, and mandatory user confirmation before task execution.\n- Requires all outputs to be saved as files; does not post complete reports in chat.\n- Designed for reproducible, systematized research use cases such as web\/material analysis, competitive\/industry analysis, bulk retrieval, and long-form evidence-integrated writing.",
        "changelogSource": "auto",
        "createdAt": 1772248068670,
        "version": "0.1.0"
    },
    "owner": {
        "_creationTime": 0,
        "_id": "publishers:missing",
        "displayName": "Pengfei Ni",
        "handle": "feiskyer",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/676637?v=4",
        "kind": "user",
        "linkedUserId": "kn71gb8rqd821gt1cdkw4ckn6x820mes"
    },
    "ownerHandle": "feiskyer",
    "skill": {
        "_creationTime": 1772248068670,
        "_id": "kd7an18zn1tn2dbec3xdzqxemh8208kf",
        "badges": [],
        "createdAt": 1772248068670,
        "displayName": "Deep Research",
        "latestVersionId": "k97bvp2yznr9mpdx4s7v238xbs8205m2",
        "ownerUserId": "kn71gb8rqd821gt1cdkw4ckn6x820mes",
        "slug": "deep-research-skill",
        "stats": {
            "comments": 0,
            "downloads": 270,
            "installsAllTime": 0,
            "installsCurrent": 0,
            "stars": 1,
            "versions": 1
        },
        "summary": "深度调研的多Agent编排工作流:把一个调研目标拆成可并行子目标,用 Claude Code 非交互模式(`claude -p`)运行子进程;联网与采集优先使用已安装的 skills,其次使用 MCP 工具;用脚本聚合子结果并分章精修,最终交付\"成品报告文件路径 + 关键结论\/建议摘要\"。用于:系统性网页\/资料调...",
        "tags": {
            "latest": "k97bvp2yznr9mpdx4s7v238xbs8205m2"
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}