OpenClaw: suspicious
VirusTotal: suspicious
StaticScan: unknown
OpenClaw: suspicious
The skill's purpose (convert IFC to Excel) matches its instructions, but the metadata omits required binaries and the runtime relies on an external CLI (IfcExporter.exe) of unknown provenance — this m... [内容已截断]
VirusTotal: suspicious VT 报告
静态扫描: unknown
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{
"latestVersion": {
"_creationTime": 1771000160772,
"_id": "k9769stkhw5m3bt2js1098191d812rsv",
"changelog": "Major update with new features and improved usability.\n\n- Added support for IFC4x1 and IFC4x3 schemas, including full infrastructure alignment and latest standards.\n- Enables export of 3D geometry to Collada DAE format alongside Excel, with matching element IDs for correlation.\n- Introduced CLI options for selective export (Excel only, 3D only, include bounding boxes).\n- Improved batch processing: convert multiple IFC files recursively from folders via command line or Python.\n- Provided Python integration with a detailed API for conversion, reading, filtering, and summarizing results in Excel.\n- Documentation overhaul with clear business use cases, CLI usage examples, and schema\/entity reference.",
"changelogSource": "auto",
"createdAt": 1771000160772,
"version": "2.0.0"
},
"owner": {
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"_id": "publishers:missing",
"displayName": "datadrivenconstruction",
"handle": "datadrivenconstruction",
"image": "https:\/\/avatars.githubusercontent.com\/u\/94158709?v=4",
"kind": "user",
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},
"ownerHandle": "datadrivenconstruction",
"skill": {
"_creationTime": 1770474853578,
"_id": "kd78ma005387pxtew07rgyemyd80qsab",
"badges": [],
"createdAt": 1770474853578,
"displayName": "Ifc To Excel",
"latestVersionId": "k9769stkhw5m3bt2js1098191d812rsv",
"ownerUserId": "kn75fhjxn1jz5xbgd9ggj0nrtd80q1dz",
"slug": "ifc-to-excel",
"stats": {
"comments": 0,
"downloads": 1006,
"installsAllTime": 2,
"installsCurrent": 2,
"stars": 0,
"versions": 2
},
"summary": "Convert IFC files (2x3, 4x1, 4x3) to Excel databases using IfcExporter CLI. Extract BIM data, properties, and geometry without proprietary software.",
"tags": {
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},
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}
}