风险评分

100/100 (Very Low)

OpenClaw: benign
VirusTotal: benign
StaticScan: clean

MoltBook Digest

作者: Zhiwei Li
Slug:moltbook-digest
版本:0.1.2
更新时间:2026-03-23 07:26:51
风险信息

OpenClaw: benign

查看 OpenClaw 分析摘要(前 200 字预览)
The skill does what it says: it collects Moltbook posts via public endpoints and prepares an evidence pack and optional LLM-driven analysis; its files, dependencies, and runtime instructions are consi...

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静态扫描: clean

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原始 JSON 数据
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        "changelog": "moltbook-digest 0.1.2\n\n- Refactored documentation for clarity and conciseness, emphasizing evidence pack collection and reporting through agent or LiteLLM paths.\n- Removed the sample OpenAI agent configuration file (agents\/openai.yaml).\n- Updated setup and config guidance to clarify provider use and key management.\n- Described output contract with fixed filenames and clearer handoff expectations for agent and LiteLLM modes.\n- Added guidance for handling vague user requests and documenting assumptions in the report.",
        "changelogSource": "user",
        "createdAt": 1774217808614,
        "parsed": {
            "clawdis": {
                "homepage": "https:\/\/www.moltbook.com",
                "requires": {
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                },
                "skillKey": "moltbookDigest"
            }
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        "version": "0.1.2"
    },
    "owner": {
        "_creationTime": 0,
        "_id": "publishers:missing",
        "displayName": "Zhiwei Li",
        "handle": "mtics",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/26955475?v=4",
        "kind": "user",
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    "ownerHandle": "mtics",
    "skill": {
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        "_id": "kd75vzx8tqd4fqhvfkgpbk2jxx836kh3",
        "badges": [],
        "createdAt": 1773895399345,
        "displayName": "MoltBook Digest",
        "latestVersionId": "k977xgyepdvzhypr15kkbd652s83d9a9",
        "ownerUserId": "kn7bj1j68v1bvp26eejkjwc7y181yyzj",
        "slug": "moltbook-digest",
        "stats": {
            "comments": 0,
            "downloads": 52,
            "installsAllTime": 0,
            "installsCurrent": 0,
            "stars": 0,
            "versions": 3
        },
        "summary": "Collect Moltbook posts and comments, build an evidence pack, and interpret it through either the calling agent or LiteLLM.",
        "tags": {
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}