← 返回 Skills 市场
仓配网络优化器
作者
jinqianfei
· GitHub ↗
· v2.7.0
· MIT-0
88
总下载
0
收藏
0
当前安装
2
版本数
在 OpenClaw 中安装
/install warehouse-network-optimizer
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 internally consistent for local warehouse-network optimization. Before installing/using: (1) run it in an isolated environment (virtualenv/container) and inspect the included scripts; (2) verify and install dependencies (pandas, openpyxl, pulp) and ensure a working CBC solver is available on your system; (3) confirm the included JSON data files are expected and do not contain any sensitive PII you don't want processed; (4) provide only the intended Excel inputs and run locally — the code does not perform network I/O, but you should still review scripts if you have stricter security requirements. If you need higher assurance, request provenance (author/source) because the package's source/homepage is unknown.
能力评估
Purpose & Capability
The name/description (warehouse network optimization using MILP) match the included Python scripts and data files. Required tools and actions (python3, pandas, openpyxl, PuLP) are appropriate and proportional to the described functionality; no unrelated credentials, binaries, or config paths are requested.
Instruction Scope
SKILL.md explicitly instructs converting Excel inputs and running the optimizer to produce an Excel report. The allowed-tools entry (Bash(python3:*), read, write) grants file access in general, but the instructions themselves reference only the expected input/output files (Excel and the included JSON). No instructions request reading arbitrary system files, environment variables, or sending data to external endpoints. (Operational note: the docs ask the user to run pip install for dependencies.)
Install Mechanism
There is no install spec (instruction-only), which is low risk. All code is included in the package and executed locally. The SKILL.md recommends installing Python packages via pip — no external binary downloads or remote installers are used. (Practical note: PuLP/CBC solver availability can vary by environment; that is an operational dependency rather than a security issue.)
Credentials
The skill requests no environment variables, no credentials, and no config paths. All inputs are local Excel/JSON files; the code uses only local filesystem reads/writes. There are no signs of secret-exfiltration or unrelated credential access.
Persistence & Privilege
always:false (default), and the skill does not request persistent/system-wide changes. It does not modify other skills or agent-wide configs. Autonomous invocation is allowed by default but not combined with any broad credential or persistence request.
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 - 安装完成后，直接呼叫该 Skill 的名称或使用
/warehouse-network-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
v2.7.0
v2.7: RDC数量改为上限(<=N)，新增参数引导流程
v2.6.0
v2.6: 智能单位检测 + 加权平均时效指标 | v2.5: 门店匹配逻辑优化 | v2.4: 等待时间计算
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 88 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」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。
推荐 Skills