风险评分

59/100 (Medium)

OpenClaw: suspicious
VirusTotal: benign
StaticScan: unknown

Deep Research (Gemini)

作者: 24601
Slug:agent-deep-research
版本:2.1.3
更新时间:2026-02-26 08:15:35
风险信息

OpenClaw: suspicious

查看 OpenClaw 分析摘要(前 200 字预览)
The skill's code and instructions largely match its stated purpose (RAG-grounded research via Gemini), but there are small metadata inconsistencies and an important operational risk: the skill can upl...

[内容已截断]

VirusTotal: benign VT 报告

静态扫描: unknown

README

README 未提供

文件列表

无文件信息

下载
下载官方 ZIP
原始 JSON 数据
{
    "latestVersion": {
        "_creationTime": 1771997656434,
        "_id": "k97eb5806pc75kemkg0garxynx81t8fg",
        "changelog": "Fix: nested YAML metadata for Codex compatibility (was JSON string which Codex rejects). All YAML values with colons are now properly quoted.",
        "changelogSource": "user",
        "createdAt": 1771997656434,
        "parsed": {
            "clawdis": {
                "config": {
                    "example": "export GOOGLE_API_KEY=your-key-from-aistudio.google.com",
                    "requiredEnv": [
                        "GOOGLE_API_KEY",
                        "GEMINI_API_KEY",
                        "GEMINI_DEEP_RESEARCH_API_KEY"
                    ]
                },
                "emoji": "🔬",
                "homepage": "https:\/\/github.com\/24601\/agent-deep-research",
                "install": [
                    {
                        "kind": "uv",
                        "label": "uv (Python package runner)",
                        "package": "uv"
                    }
                ],
                "primaryEnv": "GOOGLE_API_KEY",
                "requires": {
                    "bins": [
                        "uv"
                    ],
                    "env": [
                        "GOOGLE_API_KEY",
                        "GEMINI_API_KEY",
                        "GEMINI_DEEP_RESEARCH_API_KEY",
                        "GEMINI_DEEP_RESEARCH_AGENT",
                        "GEMINI_DEEP_RESEARCH_MODEL",
                        "GEMINI_MODEL"
                    ]
                }
            }
        },
        "version": "2.1.3"
    },
    "owner": {
        "_creationTime": 0,
        "_id": "publishers:missing",
        "displayName": "24601",
        "handle": "24601",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/1157207?v=4",
        "kind": "user",
        "linkedUserId": "kn72s0789pcajmg0yxgmyadeph80vvhf"
    },
    "ownerHandle": "24601",
    "skill": {
        "_creationTime": 1770614610855,
        "_id": "kd79j2b2g9g05wn91c7pk66ha180t19c",
        "badges": [],
        "createdAt": 1770614610855,
        "displayName": "Deep Research (Gemini)",
        "latestVersionId": "k97eb5806pc75kemkg0garxynx81t8fg",
        "ownerUserId": "kn72s0789pcajmg0yxgmyadeph80vvhf",
        "slug": "agent-deep-research",
        "stats": {
            "comments": 0,
            "downloads": 2340,
            "installsAllTime": 10,
            "installsCurrent": 10,
            "stars": 3,
            "versions": 14
        },
        "summary": "Async deep research via Gemini Interactions API (no Gemini CLI dependency). RAG-ground queries on local files (--context), preview costs (--dry-run), structu...",
        "tags": {
            "latest": "k97eb5806pc75kemkg0garxynx81t8fg"
        },
        "updatedAt": 1772064935912
    }
}