风险评分

76/100 (Low)

OpenClaw: benign
VirusTotal: suspicious
StaticScan: unknown

Ml Experiment Tracker

作者: Muhammad Mazhar Saeed
Slug:ml-experiment-tracker
版本:0.1.0
更新时间:2026-03-24 12:42:59
风险信息

OpenClaw: benign

查看 OpenClaw 分析摘要(前 200 字预览)
The skill's files, instructions, and small Python helper are coherent with its stated purpose of producing reproducible ML experiment plans and do not request unrelated credentials or perform unexpect...

[内容已截断]

VirusTotal: suspicious 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": 1772136555876,
        "_id": "k973wdyc90ypajqdnngn90spqd81x3nm",
        "changelog": "Initial release of ml-experiment-tracker.\n\n- Plan ML experiment runs with explicit parameters, metrics, and artifacts.\n- Standardize experiment definitions for tracking and reproducibility.\n- Generate structured run plans before model training.\n- Provides scripts for creating run plans and reference guides for best practices.",
        "changelogSource": "auto",
        "createdAt": 1772136555876,
        "version": "0.1.0"
    },
    "owner": {
        "_creationTime": 0,
        "_id": "publishers:missing",
        "displayName": "Muhammad Mazhar Saeed",
        "handle": "0x-professor",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/160357695?v=4",
        "kind": "user",
        "linkedUserId": "kn757hy9x0k6n9x9ck9v9j4ywd81we48"
    },
    "ownerHandle": "0x-professor",
    "skill": {
        "_creationTime": 1772136555876,
        "_id": "kd775bvsgfksb3s6a19h8z0q6x81w9j9",
        "badges": [],
        "createdAt": 1772136555876,
        "displayName": "Ml Experiment Tracker",
        "latestVersionId": "k973wdyc90ypajqdnngn90spqd81x3nm",
        "ownerUserId": "kn757hy9x0k6n9x9ck9v9j4ywd81we48",
        "slug": "ml-experiment-tracker",
        "stats": {
            "comments": 0,
            "downloads": 368,
            "installsAllTime": 4,
            "installsCurrent": 4,
            "stars": 0,
            "versions": 1
        },
        "summary": "Plan reproducible ML experiment runs with explicit parameters, metrics, and artifacts. Use before model training to standardize tracking-ready experiment def...",
        "tags": {
            "latest": "k973wdyc90ypajqdnngn90spqd81x3nm"
        },
        "updatedAt": 1774327379231
    }
}