风险评分

100/100 (Very Low)

OpenClaw: benign
VirusTotal: benign
StaticScan: clean

CyberSec Roadmap V2

作者: ToolWeb
Slug:toolweb-cybersec-roadmap-v2
版本:1.0.0
更新时间:2026-03-29 21:51:50
风险信息

OpenClaw: benign

查看 OpenClaw 分析摘要(前 200 字预览)
The skill's files and runtime instructions are consistent with a learning‑path generator and do not request credentials or install code, but the package is incomplete (no API base URL or auth) and the...

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VirusTotal: benign VT 报告

静态扫描: clean

No suspicious patterns detected.
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原始 JSON 数据
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        "changelog": "Initial release of Cyber Security Roadmap skill.\n\n- Generates personalized cybersecurity learning paths based on user experience, goals, and preferences.\n- Provides phased milestones, recommended certifications, and curated learning resources.\n- Includes endpoints for roadmap generation, specialization retrieval, and learning path catalog access.\n- Suitable for individuals at any skill level and for organizations designing training programs.\n- Offers a tiered pricing model with free and paid plans.",
        "changelogSource": "auto",
        "createdAt": 1774790954945,
        "version": "1.0.0"
    },
    "owner": {
        "_creationTime": 0,
        "_id": "s177cvva4qaee9r80e44xt5cqx83ga38",
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        "handle": "krishnakumarmahadevan-cmd",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/245780162?v=4",
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    "skill": {
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        "_id": "kd74d085hc1asm16cyzyvke0sh83vqcb",
        "badges": [],
        "createdAt": 1774790954945,
        "displayName": "CyberSec Roadmap V2",
        "latestVersionId": "k97260qhaspc0hyg5m82ge6q9s83vsj5",
        "ownerPublisherId": "s177cvva4qaee9r80e44xt5cqx83ga38",
        "ownerUserId": "kn7fvt8nzppepr4d89w8yk0y4s82sf3g",
        "slug": "toolweb-cybersec-roadmap-v2",
        "stats": {
            "comments": 0,
            "downloads": 20,
            "installsAllTime": 0,
            "installsCurrent": 0,
            "stars": 0,
            "versions": 1
        },
        "summary": "Generates personalized cybersecurity learning paths based on experience level, goals, and learning preferences.",
        "tags": {
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}