59/100 (Medium)

OpenClaw： suspicious
VirusTotal： benign
StaticScan： unknown

OpenClaw： suspicious

The skill's instructions are generally coherent with a cloud data-analysis agent, but key pieces are missing or opaque (no homepage/source, an external 'cellcog' dependency, and promises of running ar...

[内容已截断]

VirusTotal： benign VT 报告

静态扫描： unknown

README 未提供

{
    "latestVersion": {
        "_creationTime": 1770774061965,
        "_id": "k97084k7bn8bcgvp0dxntse2c580ygvq",
        "changelog": "- Added clear author and dependency metadata to SKILL.md.\n- Changed prerequisite wording to reference the `cellcog` skill directly.\n- No functional changes; documentation improvements only.",
        "changelogSource": "user",
        "createdAt": 1770774061965,
        "parsed": {
            "clawdis": {
                "emoji": "🔢"
            }
        },
        "version": "1.0.1"
    },
    "owner": {
        "_creationTime": 0,
        "_id": "publishers:missing",
        "displayName": "CellCog",
        "handle": "nitishgargiitd",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/14193431?v=4",
        "kind": "user",
        "linkedUserId": "kn7a96cj9q65e0bhmzahv790en80ffqm"
    },
    "ownerHandle": "nitishgargiitd",
    "skill": {
        "_creationTime": 1770511388712,
        "_id": "kd7arp3bq7cwk469t4s99f5gp980r7a7",
        "badges": [],
        "createdAt": 1770511388712,
        "displayName": "data-cog",
        "latestVersionId": "k97084k7bn8bcgvp0dxntse2c580ygvq",
        "ownerUserId": "kn7a96cj9q65e0bhmzahv790en80ffqm",
        "slug": "data-cog",
        "stats": {
            "comments": 0,
            "downloads": 1529,
            "installsAllTime": 6,
            "installsCurrent": 6,
            "stars": 4,
            "versions": 2
        },
        "summary": "Your data has answers. CellCog asks the right questions. #1 on DeepResearch Bench (Feb 2026) + frontier coding agent — upload messy CSVs with minimal prompting and get structured insights back: charts, dashboards, statistical reports, and clean data. Full Python access for data cleaning, exploratory analysis, visualization, hypothesis testing, ML model evaluation, and dataset profiling. Analyzes everything, presents it beautifully.",
        "tags": {
            "latest": "k97084k7bn8bcgvp0dxntse2c580ygvq"
        },
        "updatedAt": 1772336241589
    }
}