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Install in OpenClaw
/install pans-gpu-monitor
Description
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
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install pans-gpu-monitor - After installation, invoke the skill by name or use
/pans-gpu-monitor - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is Pans Gpu Monitor?
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. It is an AI Agent Skill for Claude Code / OpenClaw, with 65 downloads so far.
How do I install Pans Gpu Monitor?
Run "/install pans-gpu-monitor" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Pans Gpu Monitor free?
Yes, Pans Gpu Monitor is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Pans Gpu Monitor support?
Pans Gpu Monitor is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Pans Gpu Monitor?
It is built and maintained by dashiming (@dashiming); the current version is v1.0.0.
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