风险评分

94/100 (Very Low)

OpenClaw: benign
VirusTotal: benign
StaticScan: unknown

EvidenceOps - Forensic Evidence Management

作者: msrovani
Slug:skill-evidenceops
版本:1.0.0
更新时间:2026-02-26 04:25:36
风险信息

OpenClaw: benign

查看 OpenClaw 分析摘要(前 200 字预览)
The skill and bundled plugin appear to implement a coherent forensic evidence workflow and required tooling; there are minor metadata inconsistencies and operational considerations (S3 creds, npm inst...

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VirusTotal: benign VT 报告

静态扫描: unknown

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原始 JSON 数据
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        "_creationTime": 1771349502788,
        "_id": "k9779s9bfeqwsvvmqkxv2yh35181anx6",
        "changelog": "This is the initial release of EvidenceOps, a forensic-grade evidence management system for OpenClaw. It provides:\n\n1. **Complete Skill for ClawHub** - Ready-to-publish skill with comprehensive documentation\n2. **Dual Storage Drivers** - Filesystem (local) and S3\/MinIO (cloud) backends\n3. **Chain of Custody** - Cryptographic hash chain for evidence integrity\n4. **Security-First Design** - Path sanitization, secret redaction, channel controls\n5. **Full Test Coverage** - Unit and integration tests for core functionality\n\nThe skill teaches OpenClaw agents how to:\n- Accept media from any channel\n- Create\/manage cases with proper IDs\n- Stage originals without modification\n- Extract metadata (EXIF, duration, pages)\n- Generate derivatives in separate folders\n- Maintain tamper-evident audit trails\n- Return evidence receipts to users\n\nThe plugin provides the backend implementation with:\n- Pluggable storage architecture\n- Deterministic manifest generation\n- Channel-based access control\n- Comprehensive error handling",
        "changelogSource": "user",
        "createdAt": 1771349502788,
        "parsed": {
            "clawdis": {
                "emoji": "🔬",
                "os": [
                    "darwin",
                    "linux",
                    "win32"
                ]
            }
        },
        "version": "1.0.0"
    },
    "owner": {
        "_creationTime": 0,
        "_id": "publishers:missing",
        "displayName": "msrovani",
        "handle": "msrovani",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/40367525?v=4",
        "kind": "user",
        "linkedUserId": "kn7ax5qt8y8we2cs9pjnnwdsah81a6ce"
    },
    "ownerHandle": "msrovani",
    "skill": {
        "_creationTime": 1771349502788,
        "_id": "kd70p4q8jwzk3mx2srffnbcabn81ajcz",
        "badges": [],
        "createdAt": 1771349502788,
        "displayName": "EvidenceOps - Forensic Evidence Management",
        "latestVersionId": "k9779s9bfeqwsvvmqkxv2yh35181anx6",
        "ownerUserId": "kn7ax5qt8y8we2cs9pjnnwdsah81a6ce",
        "slug": "skill-evidenceops",
        "stats": {
            "comments": 0,
            "downloads": 460,
            "installsAllTime": 0,
            "installsCurrent": 0,
            "stars": 1,
            "versions": 1
        },
        "summary": "Forensic media triage with chain of custody. Use when receiving images, videos, audio, PDFs, or documents that need evidence-grade handling, integrity verifi...",
        "tags": {
            "latest": "k9779s9bfeqwsvvmqkxv2yh35181anx6"
        },
        "updatedAt": 1772051136135
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}