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Operations Research Modeling
by
Go-own-way
· GitHub ↗
· v1.0.0
· MIT-0
137
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0
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0
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1
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Install in OpenClaw
/install or-modeling
Description
运筹优化数学建模辅助工具。当用户需要将实际问题转化为数学优化模型时使用，包括：(1) 输入运筹优化问题并要求建立数学模型；(2) 需要将文字描述转化为目标函数和约束条件；(3) 要求对问题进行数学公式化表述；(4) 需要验证或完善优化问题的数学模型；(5) 搜索相关学术论文了解研究现状。支持的场景：线性规划、整数...
Usage Guidance
This skill appears coherent and focused on modeling plus optional literature search. Before installing: (1) know that running the skill (or the paper_search.py script) will send your query text to OpenAlex and Semantic Scholar — avoid submitting sensitive or proprietary problem statements; (2) the script requires Python and the 'requests' package (it will exit with an instruction to pip install requests if missing); (3) the skill makes outbound network requests (rate limits or API policies may apply); and (4) the SKILL.md quick-confirmation mode can skip stepwise confirmations if the user replies with short affirmative phrases, so be careful when using terse confirmations. If you need offline-only modeling or must not transmit problem data, decline the literature-search step or inspect/modify paper_search.py to remove network calls.
Capability Analysis
Type: OpenClaw Skill
Name: or-modeling
Version: 1.0.0
The skill bundle is a legitimate tool for operations research mathematical modeling. It provides a structured workflow for the AI agent to understand problems, search for academic literature, and generate LaTeX models. The included Python script `scripts/paper_search.py` is a utility for querying public academic APIs (OpenAlex and Semantic Scholar) and shows no signs of malicious behavior, data exfiltration, or unauthorized execution. The instructions in `SKILL.md` and the reference templates in `references/or-problems.md` are entirely consistent with the stated purpose of the skill.
Capability Assessment
Purpose & Capability
Name/description match the provided SKILL.md, reference material, and the included paper_search.py. The only external capability (paper search) is appropriate for a modeling assistant that offers literature review.
Instruction Scope
SKILL.md stays within modeling workflows but instructs the agent to run scripts/paper_search.py which will send the user's query to OpenAlex and Semantic Scholar APIs. That network activity is expected for a literature search, but users should know queries (problem descriptions) will be transmitted to those services.
Install Mechanism
No install spec is provided (instruction-only), and only a small Python script is included. The script requires the widely used 'requests' library but does not download or execute code from untrusted URLs. Low installation risk.
Credentials
The skill declares no environment variables, no credentials, and no config paths. The paper_search.py makes outbound HTTPS calls but does not require or attempt to read secrets — proportional to its literature-search purpose.
Persistence & Privilege
always is false, the skill is user-invocable and does not request persistent/privileged presence or modify other skills or system configs.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install or-modeling - After installation, invoke the skill by name or use
/or-modeling - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of or-modeling, an assistant tool for translating real-world operations research problems into mathematical optimization models.
- Supports model building for scenarios such as linear/integer/mixed programming, non-linear programming, dynamic programming, combinatorial optimization (TSP/VRP), network flows, site location, queuing theory, inventory and supply chain optimization, stochastic programming, scheduling, game theory, mechanism design, and more.
- Provides a step-by-step workflow: problem understanding (6-dimension analysis), literature review, assumption validation, model formulation, self-check, and LaTeX output with separate explanations.
- Features quick confirmation mode for users with clear problem descriptions.
- Includes guidance for literature search, complexity estimation, recommended constraints by problem type, and common constraints module reference.
- Output templates for professional reporting, including self-diagnosis checklist and LaTeX-formatted models for easy academic or practical use.
Metadata
Frequently Asked Questions
What is Operations Research Modeling?
运筹优化数学建模辅助工具。当用户需要将实际问题转化为数学优化模型时使用，包括：(1) 输入运筹优化问题并要求建立数学模型；(2) 需要将文字描述转化为目标函数和约束条件；(3) 要求对问题进行数学公式化表述；(4) 需要验证或完善优化问题的数学模型；(5) 搜索相关学术论文了解研究现状。支持的场景：线性规划、整数... It is an AI Agent Skill for Claude Code / OpenClaw, with 137 downloads so far.
How do I install Operations Research Modeling?
Run "/install or-modeling" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Operations Research Modeling free?
Yes, Operations Research Modeling is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Operations Research Modeling support?
Operations Research Modeling is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Operations Research Modeling?
It is built and maintained by Go-own-way (@go-own-way); the current version is v1.0.0.
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