风险评分

76/100 (Low)

OpenClaw: benign
VirusTotal: suspicious
StaticScan: unknown

OCR with python

作者: Roamer 徐
Slug:ocr-python
版本:1.0.0
更新时间:2026-03-24 12:22:56
风险信息

OpenClaw: benign

查看 OpenClaw 分析摘要
The skill's files and instructions are consistent with an OCR tool using PaddleOCR; it does not request unrelated credentials, call external endpoints, or perform suspicious file/credential access.

VirusTotal: suspicious VT 报告

静态扫描: unknown

README

README 未提供

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原始 JSON 数据
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        "changelog": "- Initial release of the OCR skill using PaddleOCR.\n- Supports text extraction from PDF and image files in both Chinese and English.\n- Output includes recognized text and confidence scores in JSON format.\n- Typical use cases covered: scanned PDFs, images, invoices, contracts, and multi-page documents.\n- Includes quick start guide and dependency installation instructions.",
        "changelogSource": "user",
        "createdAt": 1771704541442,
        "version": "1.0.0"
    },
    "owner": {
        "_creationTime": 0,
        "_id": "publishers:missing",
        "displayName": "Roamer 徐",
        "handle": "roamer-remote",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/267348107?v=4",
        "kind": "user",
        "linkedUserId": "kn7cpqbnatvf5664znnnamfg6s81jzv4"
    },
    "ownerHandle": "roamer-remote",
    "skill": {
        "_creationTime": 1771704541442,
        "_id": "kd7advak133sxvgcdt7wh3ay8581k46x",
        "badges": [],
        "createdAt": 1771704541442,
        "displayName": "OCR with python",
        "latestVersionId": "k97drfkvtw2yj3yqbgkgd809ss81k4f9",
        "ownerUserId": "kn7cpqbnatvf5664znnnamfg6s81jzv4",
        "slug": "ocr-python",
        "stats": {
            "comments": 0,
            "downloads": 1070,
            "installsAllTime": 6,
            "installsCurrent": 6,
            "stars": 0,
            "versions": 1
        },
        "summary": "Extract Chinese and English text from images and scanned PDFs, including documents like invoices and contracts, using PaddleOCR in Python.",
        "tags": {
            "latest": "k97drfkvtw2yj3yqbgkgd809ss81k4f9"
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        "updatedAt": 1774326176236
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}