100/100 (Very Low)

OpenClaw： benign
VirusTotal： benign
StaticScan： clean

OpenClaw： benign

The skill is internally consistent: it bundles a local PyMuPDF-based PDF highlighter, requires only python/uv and PyMuPDF, and its instructions match the included script and files.

VirusTotal： benign VT 报告

静态扫描： clean

No suspicious patterns detected.

README 未提供

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        "_id": "k975jvps9905t5j4t4g1jdx1p183hrv0",
        "changelog": "Initial release of paper-highlight.\n\n- Automatically highlights academic papers in 5 semantic categories (goal, motivation, method, results, contributions).\n- Configurable highlight density levels, opacity, and optional note\/summary layers.\n- Includes a preflight gate: estimates page\/word\/token count and warns users before heavy processing.\n- Uses soft pastel highlight colors (with light\/dark modes) for clear, non-intrusive marks.\n- Provides precise controls for density, per-page limits, and optional highlight categories.\n- Workflow instructions and detailed usage guidelines included in documentation.",
        "changelogSource": "user",
        "createdAt": 1774344799923,
        "parsed": {
            "clawdis": {
                "emoji": "🖍️",
                "install": [
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        "version": "1.0.0"
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        "displayName": "Yorch",
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    "skill": {
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        "badges": [],
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        "displayName": "Paper Highlight",
        "latestVersionId": "k975jvps9905t5j4t4g1jdx1p183hrv0",
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        "slug": "paper-highlight",
        "stats": {
            "comments": 0,
            "downloads": 17,
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            "installsCurrent": 0,
            "stars": 0,
            "versions": 1
        },
        "summary": "Automatically highlight academic papers by 5 semantic categories — goal, motivation, method, results, contributions — to help you quickly skim a paper. Confi...",
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