100/100 (Very Low)

OpenClaw： benign
VirusTotal： benign
StaticScan： clean

OpenClaw： benign

The skill's code, instructions, and requirements are coherent with an academic citation lookup/formatter: it only performs HTTP searches (APIs + web scraping), formats citations, and requests no crede...

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VirusTotal： benign VT 报告

静态扫描： clean

No suspicious patterns detected.

README 未提供

{
    "latestVersion": {
        "_creationTime": 1773067812151,
        "_id": "k97120zabv7d3bb7ar1dxst3bh82jb1k",
        "changelog": "Citation Finder Skill 1.0.0 – Initial release\n\n- Searches academic papers by fuzzy title in Chinese or English.\n- Supports CrossRef, Semantic Scholar, Baidu Scholar, and CNKI sources.\n- Returns formatted citations in GB\/T 7714, APA 7th, and MLA 9th styles, with source links.\n- Handles low-confidence matches by prompting for confirmation.\n- Easy usage: simply enter a paper title or citation request.\n- Dependencies: requests, beautifulsoup4, rapidfuzz.",
        "changelogSource": "user",
        "createdAt": 1773067812151,
        "version": "1.0.0"
    },
    "owner": {
        "_creationTime": 0,
        "_id": "publishers:missing",
        "displayName": "antonia huang",
        "handle": "antonia-sz",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/143588581?v=4",
        "kind": "user",
        "linkedUserId": "kn7c5156rdnpjwhwqhe3pvpc2h82jdj7"
    },
    "ownerHandle": "antonia-sz",
    "skill": {
        "_creationTime": 1773067812151,
        "_id": "kd79dwyhm2mdawm2eg8nng563d82jbfh",
        "badges": [],
        "createdAt": 1773067812151,
        "displayName": "citation-finder",
        "latestVersionId": "k97120zabv7d3bb7ar1dxst3bh82jb1k",
        "ownerUserId": "kn7c5156rdnpjwhwqhe3pvpc2h82jdj7",
        "slug": "citation-finder",
        "stats": {
            "comments": 0,
            "downloads": 188,
            "installsAllTime": 0,
            "installsCurrent": 0,
            "stars": 0,
            "versions": 1
        },
        "summary": "Academic citation lookup and formatter. Given a fuzzy paper title (Chinese or English), searches CrossRef, Semantic Scholar, Baidu Scholar, and CNKI, then re...",
        "tags": {
            "latest": "k97120zabv7d3bb7ar1dxst3bh82jb1k"
        },
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}