Mathmodel Skill
handsomeZR-netizen/mathmodel-skill
CUMCM 国赛、MCM/ICM 美赛与电工杯数学建模竞赛的端到端协作工作流。Use when a user explicitly works on one of these modeling contests or asks to run/review a modeling-competition paper from problem selection through modeling…
Evidence-driven mathematical modeling contest workflow for Claude Code: decompose a problem, select baseline/primary/fallback model routes, validate PoCs, run reproducible Python/AMPL experiments…
Install My Mathmodel Agent
$ npx skills add chengyike20110519-create/MathModelRun --skill my-mathmodel-agent -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install chengyike20110519-create/MathModelRun my-mathmodel-agent --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/chengyike20110519-create/MathModelRun.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/my-mathmodel-agent .claude/skills/my-mathmodel-agent && 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 "my-mathmodel-agent" agent skill from https://github.com/chengyike20110519-create/MathModelRun/tree/main/.claude/skills/my-mathmodel-agent into .claude/skills/my-mathmodel-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "my-mathmodel-agent", 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/chengyike20110519-create/MathModelRun/tree/main/.claude/skills/my-mathmodel-agentType 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 chengyike20110519-create/MathModelRun --skill my-mathmodel-agent -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install chengyike20110519-create/MathModelRun my-mathmodel-agent --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/chengyike20110519-create/MathModelRun.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/my-mathmodel-agent .agents/skills/my-mathmodel-agent && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "my-mathmodel-agent" agent skill from https://github.com/chengyike20110519-create/MathModelRun/tree/main/.claude/skills/my-mathmodel-agent into .agents/skills/my-mathmodel-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "my-mathmodel-agent", 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 chengyike20110519-create/MathModelRun --skill my-mathmodel-agent -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install chengyike20110519-create/MathModelRun my-mathmodel-agent --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/chengyike20110519-create/MathModelRun.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/my-mathmodel-agent .cursor/skills/my-mathmodel-agent && 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 "my-mathmodel-agent" agent skill from https://github.com/chengyike20110519-create/MathModelRun/tree/main/.claude/skills/my-mathmodel-agent into .cursor/skills/my-mathmodel-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "my-mathmodel-agent", 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/chengyike20110519-create/MathModelRun.git --path .claude/skills/my-mathmodel-agent--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 chengyike20110519-create/MathModelRun --skill my-mathmodel-agent -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install chengyike20110519-create/MathModelRun my-mathmodel-agent --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/chengyike20110519-create/MathModelRun.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/my-mathmodel-agent .gemini/skills/my-mathmodel-agent && 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 "my-mathmodel-agent" agent skill from https://github.com/chengyike20110519-create/MathModelRun/tree/main/.claude/skills/my-mathmodel-agent into .gemini/skills/my-mathmodel-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "my-mathmodel-agent", 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 chengyike20110519-create/MathModelRun my-mathmodel-agentInstalls 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 chengyike20110519-create/MathModelRun --skill my-mathmodel-agent -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/chengyike20110519-create/MathModelRun.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/my-mathmodel-agent .github/skills/my-mathmodel-agent && 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 "my-mathmodel-agent" agent skill from https://github.com/chengyike20110519-create/MathModelRun/tree/main/.claude/skills/my-mathmodel-agent into .github/skills/my-mathmodel-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "my-mathmodel-agent", 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 chengyike20110519-create/MathModelRun --skill my-mathmodel-agent -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install chengyike20110519-create/MathModelRun my-mathmodel-agent --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/chengyike20110519-create/MathModelRun.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/my-mathmodel-agent .opencode/skills/my-mathmodel-agent && 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 "my-mathmodel-agent" agent skill from https://github.com/chengyike20110519-create/MathModelRun/tree/main/.claude/skills/my-mathmodel-agent into .opencode/skills/my-mathmodel-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "my-mathmodel-agent", 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
my-mathmodel-agent- GitHub stars
- 128
- Token cost
- ~923 tokens
- SKILL.md length
- 360 words
- Files
- 1
- Skills in repo
- 2
- Repo updated
- First seen
- Licence
- MIT
At a glance
Evidence-driven mathematical modeling contest workflow for Claude Code: decompose a problem, select baseline/primary/fallback model routes, validate PoCs, run reproducible Python/AMPL experiments…
- Works in 4 steps: Read state.json, project_manifest.json,… → Find the first gate whose value is false. → Read only the stage contract needed for… → …
- Similar contests
- SKILL.md covers Startup ritual, Stage machine, Core contracts and Role subagents, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
My Mathmodel Agent is an agent skill from chengyike20110519-create/MathModelRun. Evidence-driven mathematical modeling contest workflow for Claude Code: decompose a problem, select baseline/primary/fallback model routes, validate PoCs, run reproducible Python/AMPL experiments, freeze results, write LaTeX or Typst papers, render, and audit every claim. Use for CUMCM, MCM/ICM, HiMCM, and similar contests; not for casual homework or one-off coding questions.
Its SKILL.md is about 920 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Documents & Office, covering Model routing and gateways and LaTeX. It works with Python and LaTeX. The repository describes itself as: Evidence-driven mathematical modeling workflow for CUMCM, MCM/ICM, and HiMCM: from problem files to reproducible experiments, audited papers, and defensible results. The licence is MIT.
When your agent uses it
- Similar contests
- Not for casual homework
- One-off coding questions
Example prompts
- “/my-mathmodel-agent”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Read state.json, project_manifest.json, and PROGRESS.md.
- Find the first gate whose value is false.
- Read only the stage contract needed for that gate.
- Work on one gate at a time and update the durable handoff log.
What it can do on your machine
Read from SKILL.md and the folder at commit b5cb535. 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
No scripts in the folder and no shell commands in SKILL.md.
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
My Mathmodel Agent loads about 923 tokens when it runs. Until then it costs about 99 tokens; SKILL.md has 360 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 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); files beside SKILL.md are not scanned.
SKILL.md
The full file from chengyike20110519-create/MathModelRun at commit b5cb535, republished under its MIT licence (© chengyike20110519-create). 360 words, ~923 tokens.
Download SKILL.mdSave it as
.claude/skills/my-mathmodel-agent/SKILL.md (or your agent's skills folder).- name
- my-mathmodel-agent
- description
- Evidence-driven mathematical modeling contest workflow for Claude Code: decompose a problem, select baseline/primary/fallback model routes, validate PoCs, run reproducible Python/AMPL experiments, freeze results, write LaTeX or Typst papers, render, and audit every claim. Use for CUMCM, MCM/ICM, HiMCM, and similar contests; not for casual homework or one-off coding questions.
MathModel Run
Use this skill when working on Chinese or international mathematical modeling contest projects that need a reproducible path from problem files to a defensible paper.
This is the Claude Code skill entry point. For Codex, use my-mathmodel-agent/SKILL.md in the repository root.
Startup ritual
- Read
state.json,project_manifest.json, andPROGRESS.md. - Find the first gate whose value is
false. - Read only the stage contract needed for that gate.
- Work on one gate at a time and update the durable handoff log.
Stage machine
S0 PREFLIGHT → S1 ANALYZE → S2 ROUTE → S3 DATA_PLAN
→ S4 METHOD_POC → S5 EXPERIMENT → S6 FREEZE
→ S7 WRITE → S8 RENDER → S9 AUDIT → READYThe required state gates are:
input_snapshot
problem_decomposed
model_route_selected
data_plan_ready
method_validated
experiments_reproduced
results_frozen
paper_written
pdf_verified
audit_passedEvery gate starts false. A gate becomes true only after independent, reproducible evidence exists in audit/gate_evidence.json.
Core contracts
- Each subproblem gets
planning/problem_analysis.jsonwith observable acceptance criteria. - Each model route records
baseline,primary_model,fallback_model, rejected alternatives, and a validation plan. - Each experiment run records command, input hash, parameters, seed, environment, metrics, logs, and outputs.
- Paper numbers may only come from
frozen_numbers.json. - Each paper claim maps through
paper/evidence_map.jsonto a frozen value, figure, or run. - Every PDF page is checked in
paper/render_log.json. - Final readiness requires zero hard errors in
audit/final_report.md.
Role subagents
Invoke the role agents under .claude/agents/:
mathmodel-analyst: decompose problem facts, assumptions, ambiguities, and acceptance criteria.mathmodel-modeler: define symbols, assumptions, objectives, constraints, and model routes.mathmodel-coder: implement reproducible experiments and logs.mathmodel-writer: assemble the paper only from frozen evidence.mathmodel-reviewer: independently reproduce evidence and audit the project.
Show full SKILL.md (133 more words)Show less
Recovery
Return to the earliest invalid gate:
- question or data scope → S1
- model route → S2
- data leakage or units → S3
- PoC → S4
- experiment or solver status → S5
- numbers → S6
- claim or evidence mismatch → S7
- compile or layout → S8
Use the recorded fallback instead of silently changing the model. Append KEEP/CUT/DEFER/PIVOT/ACCEPT_RISK decisions to planning/decision_log.jsonl.
Completion behavior
Do not claim completion because code ran, a solver returned success, or a PDF compiled. Report stage, artifacts, reproduced evidence, risks, and next entry point. Completion requires all gates true and a final independent audit with zero hard errors.
For detailed stage instructions, read my-mathmodel-agent/references/workflow-contract.md. For machine-readable JSON shapes, read my-mathmodel-agent/references/artifact-contracts.md. For final review scoring, read my-mathmodel-agent/references/evaluation-rubric.md.
When updating a user-requested file, replace the current version at its original path and remove obsolete content or duplicate old versions.
© chengyike20110519-create, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .claude/skills/my-mathmodel-agent of chengyike20110519-create/MathModelRun.
Open the folder on GitHubat commit b5cb535
Compare with similar skills
My Mathmodel Agent 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 |
|---|---|---|---|---|---|---|
| My Mathmodel Agent this skillchengyike20110519-create/MathModelRun | 128 | — | ~923 | Automated safety check: Pass | MIT | |
| Mathmodel SkillhandsomeZR-netizen/mathmodel-skill | 292 | — | ~2.5k | Automated safety check: Pass | MIT | |
| Literature Surveyai4s-research/ai4s-skills | 237 | 2 repos | ~2k | Automated safety check: Pass | MIT | |
| MineruNebutra/MinerU-Skill | 123 | — | ~504 | Automated safety check: Pass | MIT | |
| Cumcm Live Workflowhaoxilin/cumcm-live-workflow-skill | 181 | — | ~3.6k | Automated safety check: Pass | MIT | |
| Academic LaTeX Formatterlingzhi227/agent-research-skills | 390 | — | ~603 | Automated safety check: Pass | None |
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More from chengyike20110519-create/MathModelRun
My Mathmodel Agent
chengyike20110519-create/MathModelRun
Evidence-driven mathematical modeling contest workflow for CUMCM, MCM/ICM, HiMCM, Huawei Cup, and similar events.
Related
Categories
Questions about My Mathmodel Agent
What does My Mathmodel Agent do?
Evidence-driven mathematical modeling contest workflow for Claude Code: decompose a problem, select baseline/primary/fallback model routes, validate PoCs, run reproducible Python/AMPL experiments…. My Mathmodel Agent is an agent skill from chengyike20110519-create/MathModelRun. Evidence-driven mathematical modeling contest workflow for Claude Code: decompose a problem, select baseline/primary/fallback model routes, validate PoCs, run reproducible Python/AMPL experiments, freeze results, write LaTeX or Typst papers, render, and audit every claim.
When should I use My Mathmodel Agent?
My Mathmodel Agent fits situations like: similar contests; not for casual homework; one-off coding questions.
How do I install My Mathmodel Agent in Claude Code?
Run `npx skills add chengyike20110519-create/MathModelRun --skill my-mathmodel-agent -a claude-code`. Or copy the skill folder (.claude/skills/my-mathmodel-agent in chengyike20110519-create/MathModelRun) into .claude/skills/my-mathmodel-agent in your project. Claude Code loads it when a task matches its description.
How do I install My Mathmodel Agent in Codex?
Run `npx skills add chengyike20110519-create/MathModelRun --skill my-mathmodel-agent -a codex`. Or copy the skill folder (.claude/skills/my-mathmodel-agent in chengyike20110519-create/MathModelRun) into .agents/skills/my-mathmodel-agent in your project. Codex loads it when a task matches its description.
Can I use My Mathmodel Agent 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 chengyike20110519-create/MathModelRun --skill my-mathmodel-agent -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/my-mathmodel-agent, .gemini/skills/my-mathmodel-agent, .github/skills/my-mathmodel-agent and .opencode/skills/my-mathmodel-agent in your project.
What does My Mathmodel Agent need to run?
SKILL.md names no scripts, command-line tools or credentials: My Mathmodel Agent is instructions for the agent only.
Does My Mathmodel Agent 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 My Mathmodel Agent 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. Review the folder before installing.
What licence does My Mathmodel Agent use?
My Mathmodel Agent 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 My Mathmodel Agent use?
About 923 tokens (SKILL.md is roughly 3.7k 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 My Mathmodel Agent?
Skills that share tags, products or a category with My Mathmodel Agent: Mathmodel Skill (handsomeZR-netizen/mathmodel-skill, 292 stars), Literature Survey (ai4s-research/ai4s-skills, 237 stars), Mineru (Nebutra/MinerU-Skill, 123 stars) and Cumcm Live Workflow (haoxilin/cumcm-live-workflow-skill, 181 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains My Mathmodel Agent?
chengyike20110519-create (a GitHub user) maintains it in chengyike20110519-create/MathModelRun, which has 128 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on October 6, 2026.
Source: chengyike20110519-create/MathModelRun on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.