AutoMCM-Pro Math Modeling Agent
RealSeaberry/AutoMCM-Pro
Runs a math modeling competition entry end to end, in AI-led or human-led mode, with Git checkpoints and self-verified solver code before it enters the LaTeX paper.
Chinese-language stage that turns a math modeling contest problem and its data files into a modeling report with sub-problems, formulas and a task list for coding.
SKILL.md written in Chinese; this summary is our English description.
Install Math Modeling Problem Analysis
$ npx skills add jihe520/MathModelAgent --skill 2analysis-modeling -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jihe520/MathModelAgent 2analysis-modeling --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/jihe520/MathModelAgent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/2analysis-modeling .claude/skills/2analysis-modeling && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "2analysis-modeling" agent skill from https://github.com/jihe520/MathModelAgent/tree/main/skills/2analysis-modeling into .claude/skills/2analysis-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "2analysis-modeling", 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.
$skill-installer install https://github.com/jihe520/MathModelAgent/tree/main/skills/2analysis-modelingType 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.
$ npx skills add jihe520/MathModelAgent --skill 2analysis-modeling -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jihe520/MathModelAgent 2analysis-modeling --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jihe520/MathModelAgent.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/2analysis-modeling .agents/skills/2analysis-modeling && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "2analysis-modeling" agent skill from https://github.com/jihe520/MathModelAgent/tree/main/skills/2analysis-modeling into .agents/skills/2analysis-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "2analysis-modeling", 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.
$ npx skills add jihe520/MathModelAgent --skill 2analysis-modeling -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jihe520/MathModelAgent 2analysis-modeling --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jihe520/MathModelAgent.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/2analysis-modeling .cursor/skills/2analysis-modeling && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "2analysis-modeling" agent skill from https://github.com/jihe520/MathModelAgent/tree/main/skills/2analysis-modeling into .cursor/skills/2analysis-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "2analysis-modeling", 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.
$ gemini skills install https://github.com/jihe520/MathModelAgent.git --path skills/2analysis-modeling--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add jihe520/MathModelAgent --skill 2analysis-modeling -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jihe520/MathModelAgent 2analysis-modeling --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jihe520/MathModelAgent.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/2analysis-modeling .gemini/skills/2analysis-modeling && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "2analysis-modeling" agent skill from https://github.com/jihe520/MathModelAgent/tree/main/skills/2analysis-modeling into .gemini/skills/2analysis-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "2analysis-modeling", 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.
$ gh skill install jihe520/MathModelAgent 2analysis-modelingInstalls 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).
$ npx skills add jihe520/MathModelAgent --skill 2analysis-modeling -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jihe520/MathModelAgent.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/2analysis-modeling .github/skills/2analysis-modeling && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "2analysis-modeling" agent skill from https://github.com/jihe520/MathModelAgent/tree/main/skills/2analysis-modeling into .github/skills/2analysis-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "2analysis-modeling", 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.
$ npx skills add jihe520/MathModelAgent --skill 2analysis-modeling -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jihe520/MathModelAgent 2analysis-modeling --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jihe520/MathModelAgent.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/2analysis-modeling .opencode/skills/2analysis-modeling && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "2analysis-modeling" agent skill from https://github.com/jihe520/MathModelAgent/tree/main/skills/2analysis-modeling into .opencode/skills/2analysis-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "2analysis-modeling", 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
2analysis-modeling- GitHub stars
- 6.2k
- Token cost
- ~494 tokens
- SKILL.md length
- 84 words
- Files
- 1
- Skills in repo
- 10
- Repo updated
- First seen
- Licence
- None found
At a glance
Chinese-language stage that turns a math modeling contest problem and its data files into a modeling report with sub-problems, formulas and a task list for coding.
- Works in 5 steps: 子问题拆解 → 假设敏感性预检 → 数据理解与建模路线 → …
- Analyzing a math modeling contest problem before any code is written
- SKILL.md covers 数学建模规范参考, 必须产出, 工作流程 and 质量要求
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
The skill reads the problem statement and attachments and writes reports/ANALYSIS_MODELING_REPORT.md without drafting the paper itself. Only explicitly numbered top-level questions count as sub-problems, and for each one the report records the inputs, decision variables or prediction target, objective, constraints, dependencies and the figures or tables that will show results.
Before settling on a model it lists ambiguous wording, offers at least two readings of anything that affects results and picks one with a quick check. Each attachment gets a data review for size, fields, missing or duplicate values and unit problems, followed by an overall route from cleaning through each sub-problem model to result checking. The report ends with a code task list of tasks, inputs, outputs, methods and checks, and no data fields or numbers may be invented. The skill text is in Chinese.
When your agent uses it
- Analyzing a math modeling contest problem before any code is written
- Turning a problem statement into variables, objective functions and constraints
- Producing a task list that a coding stage can implement directly
Example prompts
- “Analyze this contest problem and its attached spreadsheets and write the modeling report.”
- “Check my sub-problem split and list the ambiguous wording that could change the model.”
- “Write the code task list for the three sub-problems with inputs, outputs and checks.”
Requirements
- Pre-approved tools (allowed-tools): Bash(*), Read, Write, Edit, Grep, Glob, Agent, WebSearch, WebFetch
Workflow steps
5 steps, taken from the step headings in SKILL.md.
- 子问题拆解
- 假设敏感性预检
- 数据理解与建模路线
- 建模报告
- 给代码阶段的接口
What it can do on your machine
Read from SKILL.md and the folder at commit 03f4eb3. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
Bash(*)ReadWriteEditGrepGlobAgentWebSearchWebFetch
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
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
Math Modeling Problem Analysis loads about 494 tokens when it runs. Until then it costs about 26 tokens; SKILL.md has 84 words of instructions outside code blocks.
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: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
allowed-tools: Bash(*), Read, Write, Edit, Grep, Glob, Agent, WebSearch, WebFetch
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); files beside SKILL.md are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 84 words (~494 tokens).
- name
- 2analysis-modeling
- allowed-tools
- Bash(*), Read, Write, Edit, Grep, Glob, Agent, WebSearch, WebFetch
Files
Just SKILL.md in skills/2analysis-modeling of jihe520/MathModelAgent.
Open the folder on GitHubat commit 03f4eb3
Compare with similar skills
Math Modeling Problem Analysis 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Math Modeling Problem Analysis this skilljihe520/MathModelAgent | 6.2k | — | ~494 | Automated safety check: Notes | None | |
| AutoMCM-Pro Math Modeling AgentRealSeaberry/AutoMCM-Pro | 258 | — | ~8.5k | Automated safety check: Pass | MIT | |
| Neuropixels Data Analysisdavila7/claude-code-templates | 32k | 10 repos | ~2.8k | Automated safety check: Pass | MIT | |
| Math Modeling Competition WorkflowXiaoMaColtAI/math-modeling-skill | 1.9k | — | ~1.2k | Automated safety check: Pass | None | |
| AutoMCM Math Modeling AgentRealSeaberry/AutoMCM-Pro | 258 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Scanpy Single-Cell Analysisdavila7/claude-code-templates | 32k | 16 repos | ~2.8k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Math Modeling Problem Analysis
What does Math Modeling Problem Analysis do?
Chinese-language stage that turns a math modeling contest problem and its data files into a modeling report with sub-problems, formulas and a task list for coding. md without drafting the paper itself. Only explicitly numbered top-level questions count as sub-problems, and for each one the report records the inputs, decision variables or prediction target, objective, constraints, dependencies and the figures or tables that will show results.
When should I use Math Modeling Problem Analysis?
Math Modeling Problem Analysis fits situations like: analyzing a math modeling contest problem before any code is written; turning a problem statement into variables, objective functions and constraints; producing a task list that a coding stage can implement directly.
How do I install Math Modeling Problem Analysis in Claude Code?
Run `npx skills add jihe520/MathModelAgent --skill 2analysis-modeling -a claude-code`. Or copy the skill folder (skills/2analysis-modeling in jihe520/MathModelAgent) into .claude/skills/2analysis-modeling in your project. Claude Code loads it when a task matches its description.
How do I install Math Modeling Problem Analysis in Codex?
Run `npx skills add jihe520/MathModelAgent --skill 2analysis-modeling -a codex`. Or copy the skill folder (skills/2analysis-modeling in jihe520/MathModelAgent) into .agents/skills/2analysis-modeling in your project. Codex loads it when a task matches its description.
Can I use Math Modeling Problem Analysis 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 jihe520/MathModelAgent --skill 2analysis-modeling -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/2analysis-modeling, .gemini/skills/2analysis-modeling, .github/skills/2analysis-modeling and .opencode/skills/2analysis-modeling in your project.
What does Math Modeling Problem Analysis need to run?
SKILL.md names no scripts, command-line tools or credentials: Math Modeling Problem Analysis is instructions for the agent only. Its frontmatter pre-approves these tools: Bash(*), Read, Write, Edit, Grep, Glob, Agent, WebSearch, WebFetch.
Does Math Modeling Problem Analysis 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 Math Modeling Problem Analysis safe to install?
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does Math Modeling Problem Analysis use?
No licence was found for Math Modeling Problem Analysis or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Math Modeling Problem Analysis use?
About 494 tokens (SKILL.md is roughly 2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Math Modeling Problem Analysis?
Skills that share tags, products or a category with Math Modeling Problem Analysis: AutoMCM-Pro Math Modeling Agent (RealSeaberry/AutoMCM-Pro, 258 stars), Neuropixels Data Analysis (davila7/claude-code-templates, 32k stars), Math Modeling Competition Workflow (XiaoMaColtAI/math-modeling-skill, 1.9k stars) and AutoMCM Math Modeling Agent (RealSeaberry/AutoMCM-Pro, 258 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Math Modeling Problem Analysis?
jihe520 (a GitHub user) maintains it in jihe520/MathModelAgent, which has 6,177 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on October 3, 2026.
Source: jihe520/MathModelAgent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.