100/100 (Very Low)

OpenClaw： benign
VirusTotal： benign
StaticScan： clean

OpenClaw： benign

The skill appears to implement a local BM25+LLM-expansion search over a user-specified documents directory and does not request external credentials or network access; inconsistencies in docs vs. code...

[内容已截断]

VirusTotal： benign VT 报告

静态扫描： clean

No suspicious patterns detected.

README 未提供

{
    "latestVersion": {
        "_creationTime": 1773986231338,
        "_id": "k9722ekeswsykyx1krke67sb6h839rf0",
        "changelog": "- Initial release of doc-search: search local document libraries using BM25, LLM query expansion, and grep.\n- Supports Chinese and English queries, synonyms, and custom query expansions.\n- Zero external dependencies; uses simple bash and Python scripts.\n- Step-by-step workflow includes index building, query expansion, and line-precise grep results.\n- Flexible options for file extensions, result count, and index location.",
        "changelogSource": "user",
        "createdAt": 1773986231338,
        "version": "1.0.0"
    },
    "owner": {
        "_creationTime": 0,
        "_id": "publishers:missing",
        "displayName": "FantasyRL",
        "handle": "fantasyrl",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/103872180?v=4",
        "kind": "user",
        "linkedUserId": "kn72khb5446cj8dync1syrcdk9838v4k"
    },
    "ownerHandle": "fantasyrl",
    "skill": {
        "_creationTime": 1773986231338,
        "_id": "kd7byqas7c5m7s2w10jdwc6hns838s2z",
        "badges": [],
        "createdAt": 1773986231338,
        "displayName": "doc-search",
        "latestVersionId": "k9722ekeswsykyx1krke67sb6h839rf0",
        "ownerUserId": "kn72khb5446cj8dync1syrcdk9838v4k",
        "slug": "doc-search",
        "stats": {
            "comments": 0,
            "downloads": 39,
            "installsAllTime": 0,
            "installsCurrent": 0,
            "stars": 0,
            "versions": 1
        },
        "summary": "Search a local document library (Obsidian vault, wiki, notes, etc.) using BM25 inverted index + LLM query expansion + grep for precise location. Use when the...",
        "tags": {
            "latest": "k9722ekeswsykyx1krke67sb6h839rf0"
        },
        "updatedAt": 1773986807772
    }
}