Operations Research Modeling

v1.0.0

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...

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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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Benign
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high confidence
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.
Assessment
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.

Like a lobster shell, security has layers — review code before you run it.

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License

MIT-0
Free to use, modify, and redistribute. No attribution required.

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