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仓配网络优化器
作者
jinqianfei
· GitHub ↗
· v2.7.0
· MIT-0
77
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0
收藏
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当前安装
1
版本数
在 OpenClaw 中安装
/install warehouse-network-optimizer-skills
功能描述
基于整数规划（MILP）的仓配网络优化系统，支持时效计算（含等待时间）、中转链路、供应关系到区县等。
安全使用建议
This package appears coherent and runs entirely on local inputs (Excel/JSON) using Python + PuLP/CBC. Before installing or running it: (1) review the included scripts (convert_data.py, run_optimization.py) if you have sensitive data in your spreadsheets, (2) run in a controlled environment (venv or sandbox) and install dependencies via pip, (3) be aware the package author/source is unknown (no homepage) — if provenance matters, validate or re-generate the data files yourself, and (4) large instances may incur heavy solver time/memory usage, so test with a small sample first.
功能分析
Type: OpenClaw Skill
Name: warehouse-network-optimizer-skills
Version: 2.7.0
The skill bundle provides a legitimate tool for warehouse network optimization using Mixed-Integer Linear Programming (MILP). The Python scripts (convert_data.py and run_optimization.py) use standard data processing and optimization libraries (pandas, openpyxl, and PuLP) to transform Excel logistics data into JSON and solve for optimal warehouse placement. The code logic is transparent, well-documented, and strictly aligned with the stated purpose, with no evidence of data exfiltration, network calls, or malicious prompt injection.
能力评估
Purpose & Capability
Name/description (MILP warehouse network optimizer) matches the included scripts (convert_data.py, run_optimization.py) and JSON data; required inputs are Excel/data files and the solver libraries named in SKILL.md, so requested capabilities are proportionate.
Instruction Scope
SKILL.md tells the agent to convert Excel → JSON and run the optimizer to produce an Excel report. The runtime instructions reference only the provided scripts and user data files; there are no instructions to read unrelated system files, access environment secrets, or post data externally.
Install Mechanism
No install spec is included (instruction-only). SKILL.md recommends installing standard Python packages (pulp, pandas, openpyxl) via pip — expected for this workload and not excessive. No downloads from untrusted URLs or archive extraction are present.
Credentials
The skill declares no required environment variables, credentials, or config paths and the code does not attempt to read environment secrets — access requested is minimal and appropriate for a local data-processing optimizer.
Persistence & Privilege
The skill is not always-enabled and does not modify other skills or global agent configuration. It runs locally and generates output files only, so its persistence/privilege footprint is minimal.
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 warehouse-network-optimizer-skills - 安装完成后，直接呼叫该 Skill 的名称或使用
/warehouse-network-optimizer-skills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
v2.7.0
v2.7: 参数引导流程，支持必选/禁止仓库约束
元数据
常见问题
仓配网络优化器 是什么？
基于整数规划（MILP）的仓配网络优化系统，支持时效计算（含等待时间）、中转链路、供应关系到区县等。 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 仓配网络优化器？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install warehouse-network-optimizer-skills」即可一键安装，无需额外配置。
仓配网络优化器 是免费的吗？
是的，仓配网络优化器 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
仓配网络优化器 支持哪些平台？
仓配网络优化器 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 仓配网络优化器？
由 jinqianfei（@jinqianfei）开发并维护，当前版本 v2.7.0。
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