94/100 (Very Low)

OpenClaw： benign
VirusTotal： benign
StaticScan： unknown

OpenClaw： benign

The skill's code and runtime instructions match its stated purpose (building a wavelet-based world model); it does not request secrets, contact external endpoints, or perform unexpected system actions...

[内容已截断]

VirusTotal： benign VT 报告

静态扫描： unknown

README 未提供

{
    "latestVersion": {
        "_creationTime": 1772305499672,
        "_id": "k97ak6chh4gfx84dvq82ajwr5n821rcz",
        "changelog": "Initial release of wavelet-world-model skill.\n\n- Introduces world model representation using discrete wavelet transforms (DWT)\n- Captures both high-frequency details and low-frequency components for robust state encoding\n- Designed for efficient processing of high-dimensional sequential state data\n- Provides a `wavelet-model` command for initializing and processing state inputs",
        "changelogSource": "user",
        "createdAt": 1772305499672,
        "parsed": {
            "clawdis": {
                "author": "tempguest"
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        },
        "version": "1.0.0"
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    "owner": {
        "_creationTime": 0,
        "_id": "publishers:missing",
        "displayName": "Krishna Aditya",
        "handle": "aadipapp",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/12190815?v=4",
        "kind": "user",
        "linkedUserId": "kn74s4bhbc58p9eqnmxe3q8hc980z734"
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    "ownerHandle": "aadipapp",
    "skill": {
        "_creationTime": 1772305499672,
        "_id": "kd70hagsy9a6pdnq573b1eq3ed820waz",
        "badges": [],
        "createdAt": 1772305499672,
        "displayName": "WaveletWorldModel",
        "latestVersionId": "k97ak6chh4gfx84dvq82ajwr5n821rcz",
        "ownerUserId": "kn74s4bhbc58p9eqnmxe3q8hc980z734",
        "slug": "wavelet-worldmodel-skill",
        "stats": {
            "comments": 0,
            "downloads": 214,
            "installsAllTime": 0,
            "installsCurrent": 0,
            "stars": 0,
            "versions": 1
        },
        "summary": "Generates a world model representation from state inputs using discrete wavelet transforms (DWT) to capture multi-resolution temporal and spatial features.",
        "tags": {
            "latest": "k97ak6chh4gfx84dvq82ajwr5n821rcz"
        },
        "updatedAt": 1772305517138
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}