OpenClaw: benign
VirusTotal: benign
StaticScan: unknown
OpenClaw: benign
The skill is an instruction-only agent helper that coherently teaches use of a local mcp-local-rag server for RAG-based web search; nothing requested by the skill (env vars, binaries, installs) is dis... [内容已截断]
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静态扫描: unknown
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{
"latestVersion": {
"_creationTime": 1769859770944,
"_id": "k97dqadwfmvsb07azg5hs6mr398097mr",
"changelog": "Initial release of local-rag-search skill.\n\n- Enables efficient, privacy-conscious web searches using the mcp-local-rag server with semantic similarity ranking.\n- Supports DuckDuckGo and Google for targeted search, plus multi-engine deep research across various providers including Wikipedia and Bing.\n- Provides clear guidelines on tool selection, query formulation, and parameter tuning for effective results.\n- Emphasizes citing sources and privacy best practices.\n- Includes troubleshooting and performance tips for comprehensive and responsive searching.",
"changelogSource": "auto",
"createdAt": 1769859770944,
"version": "0.1.0"
},
"owner": {
"_creationTime": 0,
"_id": "publishers:missing",
"displayName": "nkapila6",
"handle": "nkapila6",
"image": "https:\/\/avatars.githubusercontent.com\/u\/12816113?v=4",
"kind": "user",
"linkedUserId": "kn723652x0hq7x8y08avmbx6qn8093k6"
},
"ownerHandle": "nkapila6",
"skill": {
"_creationTime": 1769859770944,
"_id": "kd77dnffc30mntvmd9w8yqz3ts809jpw",
"createdAt": 1769859770944,
"displayName": "Local Rag Search",
"latestVersionId": "k97dqadwfmvsb07azg5hs6mr398097mr",
"ownerUserId": "kn723652x0hq7x8y08avmbx6qn8093k6",
"slug": "local-rag-search",
"stats": {
"comments": 0,
"downloads": 3061,
"installsAllTime": 11,
"installsCurrent": 11,
"stars": 2,
"versions": 1
},
"summary": "Efficiently perform web searches using the mcp-local-rag server with semantic similarity ranking. Use this skill when you need to search the web for current information, research topics across multiple sources, or gather context from the internet without using external APIs. This skill teaches effective use of RAG-based web search with DuckDuckGo, Google, and multi-engine deep research capabilities.",
"tags": {
"latest": "k97dqadwfmvsb07azg5hs6mr398097mr"
},
"updatedAt": 1772075781614
}
}