65/100 (Medium)

OpenClaw： suspicious
VirusTotal： benign
StaticScan： clean

OpenClaw： suspicious

The skill's metadata claims no requirements, but the runtime instructions expect local LLM runtimes (Ollama/LMStudio), environment variables, and optional third‑party search API keys — these mismatche...

[内容已截断]

VirusTotal： benign VT 报告

静态扫描： clean

No suspicious patterns detected.

README 未提供

{
    "latestVersion": {
        "_creationTime": 1774239945801,
        "_id": "k974rfq4bm7s44w91gz8fs4fwh83f7wd",
        "changelog": "- Initial release of Local Researcher: an entirely local, privacy-preserving research assistant for deep web studies.\n- Supports both Ollama and LMStudio as LLM providers, selectable via environment variables.\n- Iterative, automated web research workflow with multiple search provider options (DuckDuckGo, Tavily, Perplexity, SearXNG).\n- Outputs professional Markdown reports with cited sources, research summaries, and workflow metadata.\n- Flexible configuration for local model selection, research depth, and integration into custom or programmatic workflows.\n- Includes step-by-step guides for installation, Docker deployment, troubleshooting, and advanced customization.",
        "changelogSource": "auto",
        "createdAt": 1774239945801,
        "version": "1.0.0"
    },
    "owner": {
        "_creationTime": 0,
        "_id": "publishers:missing",
        "displayName": "antonia huang",
        "handle": "antonia-sz",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/143588581?v=4",
        "kind": "user",
        "linkedUserId": "kn7c5156rdnpjwhwqhe3pvpc2h82jdj7"
    },
    "ownerHandle": "antonia-sz",
    "skill": {
        "_creationTime": 1774239945801,
        "_id": "kd71dmb0qpfmr5fwt4xjt8h9hh83f07e",
        "badges": [],
        "createdAt": 1774239945801,
        "displayName": "Local Researcher",
        "latestVersionId": "k974rfq4bm7s44w91gz8fs4fwh83f7wd",
        "ownerUserId": "kn7c5156rdnpjwhwqhe3pvpc2h82jdj7",
        "slug": "local-researcher",
        "stats": {
            "comments": 0,
            "downloads": 20,
            "installsAllTime": 0,
            "installsCurrent": 0,
            "stars": 0,
            "versions": 1
        },
        "summary": "完全本地的深度研究助手 Skill。使用 Ollama 或 LMStudio 本地 LLM 进行迭代式网络研究，生成带引用来源的 Markdown 报告。当用户需要进行隐私优先的研究、本地文档分析或生成结构化研究报告时触发。",
        "tags": {
            "langchain": "k974rfq4bm7s44w91gz8fs4fwh83f7wd",
            "latest": "k974rfq4bm7s44w91gz8fs4fwh83f7wd",
            "lmstudio": "k974rfq4bm7s44w91gz8fs4fwh83f7wd",
            "local": "k974rfq4bm7s44w91gz8fs4fwh83f7wd",
            "ollama": "k974rfq4bm7s44w91gz8fs4fwh83f7wd",
            "privacy": "k974rfq4bm7s44w91gz8fs4fwh83f7wd",
            "research": "k974rfq4bm7s44w91gz8fs4fwh83f7wd"
        },
        "updatedAt": 1774240609257
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}