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在 OpenClaw 中安装
/install pans-gpu-solution-builder
功能描述
GPU 算力方案构建器。根据客户的工作负载类型（训练/推理/微调/批量推理/开发测试）、 部署规模（小型/中型/大型/企业级）和月度预算，自动推荐最优 GPU 配置 （H100/A100/L40S/A10G/RTX 4090 等），生成含 GPU 型号、数量、算力、 月度/小时成本的配置表、扩展路线图和技术建议，...
安全使用建议
This is a local, self-contained Python script that generates GPU configuration recommendations. Before installing or running: (1) review the full script yourself (it appears safe and uses only the Python standard library); (2) run it in an isolated/sandbox environment if you don't fully trust the source; (3) verify cost numbers and assumptions — the tool uses fixed example prices and heuristics and should not be treated as authoritative for procurement; (4) ensure you have Python 3 available and that you run the provided commands rather than arbitrary variants. If you want additional assurance, ask the publisher for provenance or run a static check of the full file contents.
功能分析
Type: OpenClaw Skill
Name: pans-gpu-solution-builder
Version: 1.0.0
The skill bundle is a legitimate tool for generating GPU infrastructure recommendations based on user-defined workloads and budgets. The Python script (scripts/solution.py) contains only computational logic and standard formatting code without any network access, sensitive file reads, or suspicious execution patterns.
能力评估
Purpose & Capability
Name and description (GPU solution builder) match the included script and SKILL.md examples. The script computes GPU recommendations, costs, and scaling roadmaps — all coherent with the stated purpose. Nothing requested (no env vars, no binaries) appears disproportionate.
Instruction Scope
SKILL.md instructs running the included Python script with command-line arguments; the script only reads those arguments and internal data structures. There are no instructions to read unrelated files, access credentials, or send data externally.
Install Mechanism
No install spec or external downloads. Code is provided as a local Python script that uses only the standard library, so no external package installation is required.
Credentials
The skill declares no required environment variables, credentials, or config paths and the code does not access environment secrets. Requested privileges are proportional to the stated functionality.
Persistence & Privilege
always is false and the skill is user-invocable. It doesn't attempt to modify other skills or system-wide settings. Autonomous invocation is enabled by default but is not combined with other red flags here.
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-solution-builder - 安装完成后，直接呼叫该 Skill 的名称或使用
/pans-gpu-solution-builder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
pans-gpu-solution-builder v1.0.0
- First release: GPU 算力方案构建器，自动根据工作负载类型、部署规模和预算推荐最优 GPU 配置
- 支持多种工作负载（训练、推理、微调、批量推理、开发测试）和规模（小/中/大/企业级）
- 输出 GPU 型号、数量、算力、成本等配置表，并给出扩展路线图与技术建议
- 支持 Markdown 或 JSON 格式输出
- 包含命令行用法范例
元数据
常见问题
Pans Gpu Solution Builder 是什么？
GPU 算力方案构建器。根据客户的工作负载类型（训练/推理/微调/批量推理/开发测试）、 部署规模（小型/中型/大型/企业级）和月度预算，自动推荐最优 GPU 配置 （H100/A100/L40S/A10G/RTX 4090 等），生成含 GPU 型号、数量、算力、 月度/小时成本的配置表、扩展路线图和技术建议，... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 63 次。
如何安装 Pans Gpu Solution Builder？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install pans-gpu-solution-builder」即可一键安装，无需额外配置。
Pans Gpu Solution Builder 是免费的吗？
是的，Pans Gpu Solution Builder 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Pans Gpu Solution Builder 支持哪些平台？
Pans Gpu Solution Builder 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 Solution Builder？
由 dashiming（@dashiming）开发并维护，当前版本 v1.0.0。
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