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仓配网络优化器
by
jinqianfei
· GitHub ↗
· v2.7.0
· MIT-0
88
Downloads
0
Stars
0
Active Installs
2
Versions
Install in OpenClaw
/install warehouse-network-optimizer
Description
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。
Usage Guidance
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install warehouse-network-optimizer - After installation, invoke the skill by name or use
/warehouse-network-optimizer - Provide required inputs per the skill's parameter spec and get structured output
Version History
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
Metadata
Frequently Asked Questions
What is 仓配网络优化器?
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。 It is an AI Agent Skill for Claude Code / OpenClaw, with 88 downloads so far.
How do I install 仓配网络优化器?
Run "/install warehouse-network-optimizer" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 仓配网络优化器 free?
Yes, 仓配网络优化器 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 仓配网络优化器 support?
仓配网络优化器 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 仓配网络优化器?
It is built and maintained by jinqianfei (@jinqianfei); the current version is v2.7.0.
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