100/100 (Very Low)

OpenClaw： benign
VirusTotal： benign
StaticScan： clean

OpenClaw： benign

The skill is internally consistent with a network-forensics purpose: it is an instruction-only playbook for read-oriented evidence collection (packet captures, flows, ARP/MAC, routing, syslog) and doe...

[内容已截断]

VirusTotal： benign VT 报告

静态扫描： clean

No suspicious patterns detected.

README 未提供

{
    "latestVersion": {
        "_creationTime": 1774167565012,
        "_id": "k97e5t8anv1jj9dkptv13gk9yn83cmg2",
        "changelog": "Initial release — network forensics evidence collection and analysis for incident response teams.\n\n- Guides volatile network evidence collection (packet captures, ARP\/MAC\/CAM tables, flow records, routing state) across Cisco, Juniper, and Arista platforms.\n- Focused on lateral movement detection, containment verification (read-only), and timeline reconstruction.\n- Vendor-specific CLI syntax provided for all supported platforms.\n- Documentation includes step-by-step workflow and prerequisites for reliable network artifact analysis.\n- Excludes endpoint forensics, malware, and general incident response procedures; limited to network artifacts only.",
        "changelogSource": "auto",
        "createdAt": 1774167565012,
        "version": "1.0.0"
    },
    "owner": {
        "_creationTime": 0,
        "_id": "publishers:missing",
        "displayName": "Vahagn Madatyan",
        "handle": "vahagn-madatyan",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/74753362?v=4",
        "kind": "user",
        "linkedUserId": "kn7ac9vq558rgj3edzcy9mgf1183b0ec"
    },
    "ownerHandle": "vahagn-madatyan",
    "skill": {
        "_creationTime": 1774167565012,
        "_id": "kd7e0mhx7djpvb2s8n55kbeeyx83cjgk",
        "badges": [],
        "createdAt": 1774167565012,
        "displayName": "Incident Response Network",
        "latestVersionId": "k97e5t8anv1jj9dkptv13gk9yn83cmg2",
        "ownerUserId": "kn7ac9vq558rgj3edzcy9mgf1183b0ec",
        "slug": "incident-response-network",
        "stats": {
            "comments": 0,
            "downloads": 33,
            "installsAllTime": 1,
            "installsCurrent": 1,
            "stars": 0,
            "versions": 1
        },
        "summary": "Network forensics evidence collection and analysis during security incidents. Guides volatile evidence preservation, lateral movement detection via flow reco...",
        "tags": {
            "latest": "k97e5t8anv1jj9dkptv13gk9yn83cmg2"
        },
        "updatedAt": 1774167710650
    }
}