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在 OpenClaw 中安装
/install pans-competitor-compare
功能描述
AI算力销售竞品对比分析器。实时对比AWS/GCP/Azure/火山引擎/阿里云GPU定价和规格。 支持按GPU型号、云厂商、区域筛选，输出对比表格或CSV。 触发词：竞品对比, GPU价格, 云厂商对比, 定价分析, competitor analysis, pricing comparison
安全使用建议
This skill appears to be a simple, local price/spec comparator using a bundled static dataset and a Python CLI. Before installing/using: (1) confirm you have a compatible Python environment (script indicates Python 3.11 but will likely run on 3.x); (2) remember the pricing data is a snapshot (SKILL.md notes 2026-04 reference) — verify current prices on vendors' official sites for transaction decisions; (3) when exporting to a file, confirm the output path is safe (it will write CSV if you pass --output); (4) no credentials or network calls are required by the skill, so it does not appear to exfiltrate secrets or reach out to external endpoints. If you need live pricing, check whether a maintained upstream source or API is available and review any added network code before trusting automated comparisons.
功能分析
Type: OpenClaw Skill
Name: pans-competitor-compare
Version: 1.0.0
The skill is a legitimate tool for comparing GPU pricing across cloud providers (AWS, GCP, Azure, etc.) using hardcoded reference data. The Python script (scripts/compare.py) and documentation (SKILL.md) contain no network calls, external dependencies, or suspicious execution logic, and the file-writing capability is limited to user-specified output paths.
能力评估
Purpose & Capability
The name/description (GPU/cloud pricing comparison) matches the included SKILL.md and scripts/compare.py. The code contains a static GPU_DATA dataset and CLI filters to produce table/JSON/CSV output — exactly what the skill claims to do. No unrelated services, binaries, or credentials are requested.
Instruction Scope
SKILL.md instructs running the local Python script with filtering flags and exporting to stdout/file. The instructions and code only reference the bundled dataset and CLI args; there are no steps that access arbitrary files, environment variables, network endpoints, or exfiltrate data.
Install Mechanism
No install spec is provided (instruction-only with an included script). Nothing is downloaded or extracted at install time; the runtime is local Python execution, which is proportional for a CLI tool.
Credentials
The skill declares no required environment variables, credentials, or config paths. The code does not read secrets or request access to unrelated services — the requested environment (a Python interpreter and filesystem write permission if exporting CSV) is appropriate for its purpose.
Persistence & Privilege
The skill is not marked always:true and does not request persistent elevated privileges or modify other skills or global agent settings. It runs on-demand as a local script.
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-competitor-compare - 安装完成后，直接呼叫该 Skill 的名称或使用
/pans-competitor-compare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-competitor-compare: An AI GPU pricing and spec comparison tool for AWS, GCP, Azure, 火山引擎, and 阿里云.
- Supports filtering by GPU model, cloud provider, region, and output mode.
- Outputs results in table, CSV, or JSON format; allows export to file.
- CLI parameters documented for flexible, targeted comparisons.
- Price references are as of April 2026; includes US and China region distinctions.
- Provides standardized output fields for easy analysis and export.
元数据
常见问题
Pans Competitor Compare 是什么？
AI算力销售竞品对比分析器。实时对比AWS/GCP/Azure/火山引擎/阿里云GPU定价和规格。 支持按GPU型号、云厂商、区域筛选，输出对比表格或CSV。 触发词：竞品对比, GPU价格, 云厂商对比, 定价分析, competitor analysis, pricing comparison. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 77 次。
如何安装 Pans Competitor Compare？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install pans-competitor-compare」即可一键安装，无需额外配置。
Pans Competitor Compare 是免费的吗？
是的，Pans Competitor Compare 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Pans Competitor Compare 支持哪些平台？
Pans Competitor Compare 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 Competitor Compare？
由 dashiming（@dashiming）开发并维护，当前版本 v1.0.0。
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