82/100 (Low)

OpenClaw： benign
VirusTotal： suspicious
StaticScan： clean

OpenClaw： benign

The skill's code and runtime instructions are consistent with its stated purpose (orchestrating real model training and computing ELPA weights); it requires no external credentials or installs, but it...

[内容已截断]

VirusTotal： suspicious VT 报告

静态扫描： clean

No suspicious patterns detected.

README 未提供

{
    "latestVersion": {
        "_creationTime": 1773465928563,
        "_id": "k97c9abwsafp34k4r3yg7rqe4982xgax",
        "changelog": "- Initial release of the elpa skill, enabling orchestration of real ELPA-style ensemble forecasting workflows.\n- Supports triggering external sub-model training jobs using your own training scripts for frameworks like PyTorch, Prophet, and transformers.\n- Automatically computes ELPA ensemble weights and policies from real sub-model validation errors.\n- Provides scalable model pool support—no hard limit on the number of models.\n- Includes templates, orchestration scripts, and integration tools for production-ready ensemble pipelines.",
        "changelogSource": "auto",
        "createdAt": 1773465928563,
        "version": "1.0.0"
    },
    "owner": {
        "_creationTime": 0,
        "_id": "publishers:missing",
        "displayName": "AnonymousCodeMaker",
        "handle": "anonymouscodemaker",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/243696146?v=4",
        "kind": "user",
        "linkedUserId": "kn72fmyrxyjbpt5raenm9tk80n82wgh5"
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    "ownerHandle": "anonymouscodemaker",
    "skill": {
        "_creationTime": 1773465928563,
        "_id": "kd7eenrxjnve2j7py3te0rdfgs82whpt",
        "badges": [],
        "createdAt": 1773465928563,
        "displayName": "ELPA",
        "latestVersionId": "k97c9abwsafp34k4r3yg7rqe4982xgax",
        "ownerUserId": "kn72fmyrxyjbpt5raenm9tk80n82wgh5",
        "slug": "elpa",
        "stats": {
            "comments": 0,
            "downloads": 108,
            "installsAllTime": 0,
            "installsCurrent": 0,
            "stars": 0,
            "versions": 1
        },
        "summary": "Orchestrate real ELPA-style ensemble forecasting workflows by triggering external sub-model training jobs (for example PyTorch\/Prophet\/TiDE\/transformers), th...",
        "tags": {
            "latest": "k97c9abwsafp34k4r3yg7rqe4982xgax"
        },
        "updatedAt": 1774333476787
    }
}