Install the "modeling-paper-rubric-and-model-selector" agent skill from https://github.com/yushui2022/MathModel-Skill/tree/standard/packages/trae/.trae/skills/modeling-paper-rubric-and-model-selector into .claude/skills/modeling-paper-rubric-and-model-selector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "modeling-paper-rubric-and-model-selector", then confirm the skill loads.
Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
skills CLI
$ npx skills add yushui2022/MathModel-Skill --skill modeling-paper-rubric-and-model-selector -a codex
Project install goes to .agents/skills/; add -g for ~/.codex/skills/.
Install the "modeling-paper-rubric-and-model-selector" agent skill from https://github.com/yushui2022/MathModel-Skill/tree/standard/packages/trae/.trae/skills/modeling-paper-rubric-and-model-selector into .agents/skills/modeling-paper-rubric-and-model-selector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "modeling-paper-rubric-and-model-selector", then confirm the skill loads.
Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
skills CLI
$ npx skills add yushui2022/MathModel-Skill --skill modeling-paper-rubric-and-model-selector -a cursor
Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.
Install the "modeling-paper-rubric-and-model-selector" agent skill from https://github.com/yushui2022/MathModel-Skill/tree/standard/packages/trae/.trae/skills/modeling-paper-rubric-and-model-selector into .cursor/skills/modeling-paper-rubric-and-model-selector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "modeling-paper-rubric-and-model-selector", then confirm the skill loads.
Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
skills CLI
$ npx skills add yushui2022/MathModel-Skill --skill modeling-paper-rubric-and-model-selector -a gemini-cli
Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.
Install the "modeling-paper-rubric-and-model-selector" agent skill from https://github.com/yushui2022/MathModel-Skill/tree/standard/packages/trae/.trae/skills/modeling-paper-rubric-and-model-selector into .gemini/skills/modeling-paper-rubric-and-model-selector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "modeling-paper-rubric-and-model-selector", then confirm the skill loads.
Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
skills CLI
$ npx skills add yushui2022/MathModel-Skill --skill modeling-paper-rubric-and-model-selector -a github-copilot
Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.
Install the "modeling-paper-rubric-and-model-selector" agent skill from https://github.com/yushui2022/MathModel-Skill/tree/standard/packages/trae/.trae/skills/modeling-paper-rubric-and-model-selector into .github/skills/modeling-paper-rubric-and-model-selector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "modeling-paper-rubric-and-model-selector", then confirm the skill loads.
GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
skills CLI
$ npx skills add yushui2022/MathModel-Skill --skill modeling-paper-rubric-and-model-selector -a opencode
OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
Install the "modeling-paper-rubric-and-model-selector" agent skill from https://github.com/yushui2022/MathModel-Skill/tree/standard/packages/trae/.trae/skills/modeling-paper-rubric-and-model-selector into .opencode/skills/modeling-paper-rubric-and-model-selector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "modeling-paper-rubric-and-model-selector", then confirm the skill loads.
OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
Skill name
modeling-paper-rubric-and-model-selector
GitHub stars
454
Used in
1 other repo
Token cost
~1.8k tokens
SKILL.md length
349 words
Files
3 (incl. scripts, references)
Skills in repo
10
Repo updated
First seen
Licence
MIT
At a glance
Builds a scoring-aligned outline for a mathematical modeling paper and a model selection plan with baseline, improvement and validation experiments.
Works in 6 steps: 预测类（时间序列/回归） → 分类/判别 → 评价/排序/综合指数 → …
Structuring a modeling paper to match a scoring rubric
SKILL.md covers 全局流程协作约束（长对话防漂移）, 执行契约, 目标 and 何时调用, plus 10 more sections
Runs Python scripts from its folder; calls python
What it does
This skill, documented in Chinese, helps with mathematical modeling contest papers. From the problem statement it builds a paper outline tailored to each question, a table linking every scoring point to where the paper gives evidence, and a model selection plan with a baseline, improvements, validation and interpretation experiments.
It works inside a larger staged paper workflow. Before a formal task the agent runs a workflow guard script and stops if it fails, reads the upstream problem analysis file as the only source of sub-questions, and writes a model route JSON, a rubric alignment JSON and a scoring strategy file into the paper output folder. A Python script builds the model route, and a reference holds the default paper prompt.
Useful inputs include the contest name, the problem statement, your own reading of each question, data details such as fields, time span and missing share, the task type (predict, optimize, evaluate, classify, cluster, simulate or schedule) and the highlights you want to stress. Afterward the agent hands back to the orchestrator and records progress in workflow memory.
When your agent uses it
Structuring a modeling paper to match a scoring rubric
Choosing between candidate models for each sub-question
Planning baseline and comparison experiments
Worrying that the chosen model or metrics do not fit the question
Example prompts
“Build a paper outline aligned to the scoring rubric for this contest problem, then pick models for each question.”
“I'm unsure whether my model fits the question; propose a baseline, an improvement and validation experiments.”
“Create the model route and rubric alignment files from problem_analysis.json.”
Requirements
Python, to run the workflow guard and model route scripts
The upstream problem_analysis.json from the problem analysis step
Workflow steps
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 7712876. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Modeling Paper Rubric and Model Selector loads about 1.8k tokens when it runs, and up to ~2.9k if it reads all its reference files. Until then it costs about 31 tokens; SKILL.md has 349 words of instructions outside code blocks.
Always· name and description, kept in context so the agent knows when to use it
~31
When it runs· the whole SKILL.md, loaded when a task matches
~1.8k
With references· SKILL.md plus every file in references/, read only if the agent opens them
~2.9k
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
Download SKILL.mdSave it as .claude/skills/modeling-paper-rubric-and-model-selector/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in yushui2022/MathModel-Skill, which our catalogue first saw on October 7, 2026.
Modeling Paper Rubric and Model Selector next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
Modeling Paper Rubric and Model Selector compared with similar skills
Skill
Stars
Used in
Tokens
Auto-check
Licence
Repo updated
Modeling Paper Rubric and Model Selector this skillyushui2022/MathModel-Skill
Walks Chinese undergraduates through writing a graduation thesis from topic to Word export, with text-similarity reduction and AI-text rate rewriting and checks.
Turns course slides, homework files, class code and earlier solutions into concise student-style Markdown answers, with optional subagents for solving and review.
Generates result-evidence contracts, tables and runnable q1 to q3 modeling code scaffolds for a math modeling paper from a model route, a data plan and cleaned data.
Plans, drafts, audits, formats and verifies a formal mathematical-modeling paper from an evidence chain, delivering audited Markdown and a Word file with native equations.
Repairs one failing section of a mathematical modeling paper from the repair queue, or builds a legacy or quickstart scaffold when you ask for one by name.
Finds authoritative public data sources for modeling tasks, prefers official APIs and bulk downloads, and outputs a reproducible fetch and cleaning plan with citations.
Questions about Modeling Paper Rubric and Model Selector
What does Modeling Paper Rubric and Model Selector do?
Builds a scoring-aligned outline for a mathematical modeling paper and a model selection plan with baseline, improvement and validation experiments. This skill, documented in Chinese, helps with mathematical modeling contest papers. From the problem statement it builds a paper outline tailored to each question, a table linking every scoring point to where the paper gives evidence, and a model selection plan with a baseline, improvements, validation and interpretation experiments.
When should I use Modeling Paper Rubric and Model Selector?
Modeling Paper Rubric and Model Selector fits situations like: structuring a modeling paper to match a scoring rubric; choosing between candidate models for each sub-question; planning baseline and comparison experiments; worrying that the chosen model or metrics do not fit the question.
How do I install Modeling Paper Rubric and Model Selector in Claude Code?
Run `npx skills add yushui2022/MathModel-Skill --skill modeling-paper-rubric-and-model-selector -a claude-code`. Or copy the skill folder (packages/trae/.trae/skills/modeling-paper-rubric-and-model-selector in yushui2022/MathModel-Skill) into .claude/skills/modeling-paper-rubric-and-model-selector in your project. Claude Code loads it when a task matches its description.
How do I install Modeling Paper Rubric and Model Selector in Codex?
Run `npx skills add yushui2022/MathModel-Skill --skill modeling-paper-rubric-and-model-selector -a codex`. Or copy the skill folder (packages/trae/.trae/skills/modeling-paper-rubric-and-model-selector in yushui2022/MathModel-Skill) into .agents/skills/modeling-paper-rubric-and-model-selector in your project. Codex loads it when a task matches its description.
Can I use Modeling Paper Rubric and Model Selector in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add yushui2022/MathModel-Skill --skill modeling-paper-rubric-and-model-selector -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/modeling-paper-rubric-and-model-selector, .gemini/skills/modeling-paper-rubric-and-model-selector, .github/skills/modeling-paper-rubric-and-model-selector and .opencode/skills/modeling-paper-rubric-and-model-selector in your project.
What does Modeling Paper Rubric and Model Selector need to run?
Going by SKILL.md and its folder, Modeling Paper Rubric and Model Selector needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python, to run the workflow guard and model route scripts; The upstream problem_analysis.json from the problem analysis step.
Does Modeling Paper Rubric and Model Selector access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Modeling Paper Rubric and Model Selector safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Modeling Paper Rubric and Model Selector use?
Modeling Paper Rubric and Model Selector is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Modeling Paper Rubric and Model Selector use?
About 1.8k tokens (SKILL.md is roughly 7.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.1k tokens, read only when the agent opens those files.
What are the alternatives to Modeling Paper Rubric and Model Selector?
Skills that share tags, products or a category with Modeling Paper Rubric and Model Selector: Thesis Creator (Stars-OC/thesis-creator, 230 stars), Aigc Detector (free-revalution/AIGC-Detector-Pro, 142 stars), Lecture to Homework (vect-G/lecture-to-hw, 127 stars) and Synthesize (agentii-ai/agentii-investment-intelligence, 207 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Modeling Paper Rubric and Model Selector?
yushui2022 (a GitHub user) maintains it in yushui2022/MathModel-Skill, which has 454 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on October 7, 2026.
Source: yushui2022/MathModel-Skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.
