风险评分

100/100 (Very Low)

OpenClaw: benign
VirusTotal: benign
StaticScan: clean

Dicom Anonymizer

作者: AIpoch
Slug:dicom-anonymizer
版本:0.1.0
更新时间:2026-03-19 10:16:53
风险信息

OpenClaw: benign

查看 OpenClaw 分析摘要(前 200 字预览)
The skill's code, instructions, and requirements are coherent with a local DICOM anonymizer: it operates on local files, uses pydicom and hashing, requests no credentials, and has no install script or...

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VirusTotal: benign VT 报告

静态扫描: clean

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原始 JSON 数据
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    "latestVersion": {
        "_creationTime": 1773884349232,
        "_id": "k97fzy6tptbxhetbh9zzh6ka15836x92",
        "changelog": "Initial release of dicom-anonymizer: a tool for batch anonymization of DICOM medical images.\n\n- Removes or replaces PHI (e.g., patient name, ID, birth date) while preserving image data for research.\n- Supports single-file and bulk directory processing via CLI and Python API.\n- Offers configurable anonymization strategies (removal, hashing, or replacement) and preserves study linkage with pseudonyms if desired.\n- Generates comprehensive audit logs for compliance and supports HIPAA Safe Harbor standards.\n- Includes options to retain selected tags, remove private\/unknown tags, and validate output DICOM files.\n- Designed for research sharing; manual review still required for full compliance (does not remove burned-in pixel annotations).",
        "changelogSource": "auto",
        "createdAt": 1773884349232,
        "parsed": {
            "clawdis": {
                "author": "AIPOCH"
            }
        },
        "version": "0.1.0"
    },
    "owner": {
        "_creationTime": 0,
        "_id": "publishers:missing",
        "displayName": "AIpoch",
        "handle": "aipoch-ai",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/258999481?v=4",
        "kind": "user",
        "linkedUserId": "kn76fcc8jhxekae91m2ekbrsgn821avs"
    },
    "ownerHandle": "aipoch-ai",
    "skill": {
        "_creationTime": 1773884349232,
        "_id": "kd70ypb6vsxh7mfc77rshfsh1s8368wb",
        "badges": [],
        "createdAt": 1773884349232,
        "displayName": "Dicom Anonymizer",
        "latestVersionId": "k97fzy6tptbxhetbh9zzh6ka15836x92",
        "ownerUserId": "kn76fcc8jhxekae91m2ekbrsgn821avs",
        "slug": "dicom-anonymizer",
        "stats": {
            "comments": 0,
            "downloads": 53,
            "installsAllTime": 0,
            "installsCurrent": 0,
            "stars": 0,
            "versions": 1
        },
        "summary": "Batch anonymize DICOM medical images by removing patient sensitive information (name, ID, birth date) while preserving image data for research use. Trigger w...",
        "tags": {
            "latest": "k97fzy6tptbxhetbh9zzh6ka15836x92"
        },
        "updatedAt": 1773886613627
    }
}