OpenClaw: benign
VirusTotal: suspicious
StaticScan: unknown
OpenClaw: benign
The skill is internally consistent with a Lybic cloud-sandbox controller: it asks for Lybic credentials and Python tooling and its instructions and example code match the described capabilities, thoug... [内容已截断]
VirusTotal: suspicious VT 报告
静态扫描: unknown
README 未提供
无文件信息
{
"latestVersion": {
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"_id": "k97bk5n1jddsvv7amxgx93d7dx80w5j5",
"changelog": "lybic-sandbox 0.1.3\n\n- Updated the skill description to provide a clearer and more comprehensive explanation of Lybic Sandbox, highlighting its role in automation workflows, control, and observability.\n- No code or file changes; this release focuses on documentation and description improvements.",
"changelogSource": "user",
"createdAt": 1770720715887,
"parsed": {
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"id": "brew",
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"env": [
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},
"version": "0.1.3"
},
"owner": {
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"_id": "publishers:missing",
"displayName": "lybic",
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"image": "https:\/\/avatars.githubusercontent.com\/u\/37976919?v=4",
"kind": "user",
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"displayName": "Lybic Sandbox",
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"slug": "lybic-sandbox",
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"versions": 4
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"summary": "Lybic Sandbox is a cloud sandbox built for agents and automation workflows. Think of it as a disposable cloud computer you can spin up on demand. Agents can perform GUI actions like seeing the screen, clicking, typing, and handling pop ups, which makes it a great fit for legacy apps and complex flows where APIs are missing or incomplete. It is designed for control and observability. You can monitor execution in real time, stop it when needed, and use logs and replay to debug, reproduce runs, and evaluate reliability. For long running tasks, iterative experimentation, or sensitive environments, sandboxed execution helps reduce risk and operational overhead.",
"tags": {
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}
}