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Shipping Optimizer
作者
LeroyCreates
· GitHub ↗
· v1.0.0
· MIT-0
167
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当前安装
1
版本数
在 OpenClaw 中安装
/install shipping-optimizer
功能描述
Compare shipping strategies across carriers, zones, and fulfillment models to find the lowest-cost configuration that still meets customer delivery expectati...
安全使用建议
This is an instruction-only tool that asks you to paste your SKU dimensions, monthly volumes, origins, and (optionally) your current shipping costs so it can estimate per-unit landed costs across carriers and fulfillment options. It does not fetch carrier quotes or access your carrier accounts — do not share carrier login credentials or private dashboards. Because outputs are estimates based on published rate rules and the numbers you provide, validate any recommended changes with real carrier quotes and your contract terms before switching providers. If you are uncomfortable sharing detailed volume or cost data, consider anonymizing or aggregating inputs (e.g., ranges or percentage splits) before using the skill.
功能分析
Type: OpenClaw Skill
Name: shipping-optimizer
Version: 1.0.0
The skill bundle consists solely of metadata and a markdown instruction file (SKILL.md) for a shipping cost analysis tool. It contains no executable code, network requests, or suspicious instructions, and its data requirements (SKU dimensions, warehouse locations) are strictly aligned with its stated purpose of logistics optimization.
能力评估
Purpose & Capability
The name/description (shipping cost and fulfillment model comparisons) matches the SKILL.md content. There are no unexpected requirements (no cloud credentials, no carrier API tokens) and the skill explicitly states it relies on user-provided data rather than pulling account information.
Instruction Scope
Instructions are limited to collecting user-provided catalog, origin, and delivery-window inputs and producing a comparative report. Note: the skill asks for commercially sensitive data (volumes, negotiated costs) which is expected for the task — the user should avoid sharing carrier account credentials or private dashboards because the skill does not declare any need for them.
Install Mechanism
No install spec and no code files — instruction-only. This minimizes risk because nothing is written to disk or fetched during install.
Credentials
No environment variables, credentials, or config paths are requested. The absence of declared credentials is consistent with the SKILL.md statement that it cannot access carrier dashboards and uses user-supplied numbers.
Persistence & Privilege
always is false and the skill is user-invocable; it does not request permanent/system-level presence or any modifications to other skills or agent config. Autonomous model invocation is allowed by default but not combined with other privilege concerns 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 shipping-optimizer - 安装完成后，直接呼叫该 Skill 的名称或使用
/shipping-optimizer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.
元数据
常见问题
Shipping Optimizer 是什么？
Compare shipping strategies across carriers, zones, and fulfillment models to find the lowest-cost configuration that still meets customer delivery expectati... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 167 次。
如何安装 Shipping Optimizer？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install shipping-optimizer」即可一键安装，无需额外配置。
Shipping Optimizer 是免费的吗？
是的，Shipping Optimizer 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Shipping Optimizer 支持哪些平台？
Shipping Optimizer 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 Shipping Optimizer？
由 LeroyCreates（@leooooooow）开发并维护，当前版本 v1.0.0。
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