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在 OpenClaw 中安装
/install pans-gpu-monitor
功能描述
AI算力销售GPU监控工具。接入客户GPU使用数据，生成用量/效率周报，识别优化机会。 支持成本分析、异常告警、容量规划建议。 触发词：GPU监控, 用量报告, 效率分析, 成本优化, 周报生成
安全使用建议
This skill appears to do exactly what it says: import CSV/JSON usage data, compute summaries, and print reports locally. Before installing, consider: (1) the tool stores imported client data at ~/.qclaw/skills/pans-gpu-monitor/metrics.json — remove or encrypt this file if it contains sensitive client information; (2) only import data files you trust (CSV/JSON) to avoid corrupt or malicious inputs; (3) if you need network isolation, run the script in a sandbox — the code contains no outbound network calls, but persistence is local; (4) if you want tighter control, review the full script and permissions or modify the storage path to a location you manage.
功能分析
Type: OpenClaw Skill
Name: pans-gpu-monitor
Version: 1.0.0
The pans-gpu-monitor skill is a legitimate data processing and reporting tool for GPU utilization metrics. The Python script (monitor.py) uses standard libraries to manage a local JSON database, import CSV/JSON data, and generate Markdown reports without any network activity, obfuscation, or unauthorized file system access. The SKILL.md instructions are well-aligned with the stated purpose and do not contain any prompt-injection attacks or malicious directives.
能力评估
Purpose & Capability
Name/description (GPU monitoring and weekly reports) align with the included instructions and the Python script. No unexpected services, cloud credentials, or unrelated binaries are requested.
Instruction Scope
SKILL.md describes collecting GPU usage data interactively or via provided CSV/JSON and generating Markdown reports — the script implements import, summarization, and report printing. Instructions do not ask the agent to read unrelated system files or send data externally.
Install Mechanism
This is instruction-only with a Python script included; there is no install spec that downloads arbitrary code or runs external installers.
Credentials
The skill declares no environment variables or credentials and the code does not reference external tokens. Required inputs are user-provided data files, which is proportionate to the stated purpose.
Persistence & Privilege
The script creates and writes to a skill-specific directory under the user's home (~/.qclaw/skills/pans-gpu-monitor) and stores metrics.json — this is expected for local data persistence but means client data will be stored on-disk by the skill.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install pans-gpu-monitor - 安装完成后，直接呼叫该 Skill 的名称或使用
/pans-gpu-monitor触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
- Initial release of pans-gpu-monitor: a GPU usage monitoring tool for AI compute sales teams.
- Generates weekly structured reports on customer GPU usage, efficiency, and cost.
- Automatically identifies resource optimization opportunities and risk signals.
- Supports cost breakdown, anomaly alerts, and capacity planning suggestions.
- CLI interactive data collection and Markdown formatted output report.
元数据
常见问题
Pans Gpu Monitor 是什么？
AI算力销售GPU监控工具。接入客户GPU使用数据，生成用量/效率周报，识别优化机会。 支持成本分析、异常告警、容量规划建议。 触发词：GPU监控, 用量报告, 效率分析, 成本优化, 周报生成. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 65 次。
如何安装 Pans Gpu Monitor？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install pans-gpu-monitor」即可一键安装，无需额外配置。
Pans Gpu Monitor 是免费的吗？
是的，Pans Gpu Monitor 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Pans Gpu Monitor 支持哪些平台？
Pans Gpu Monitor 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Pans Gpu Monitor？
由 dashiming（@dashiming）开发并维护，当前版本 v1.0.0。
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