MathModeling-skills: Skill for Claude Code

.claude/skills/matlab-model-code-generator/SKILL.md

matlab-model-code-generator is a skill for Claude Code from zhnnky329/MathModeling-skills. It costs 40 tokens per session (620 once invoked), scanned A, original, MIT.

A code-generation tool for producing and running minimal MATLAB or Beita Tianyuan programs for an approved mathematical-modeling method and baseline.

In plain words
What is it for?
Use it to create language-compatible files, run the main method and baseline, check fallback and degenerate-output conditions, and save experiment artifacts.
Why use it?
It turns the approved code plan into reproducible scripts and records the experiment’s tables, metrics, figures, and run summary.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is zhnnky329/MathModeling-skills's own configuration. It tells Claude Code how to work on MathModeling-skills itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything MathModeling-skills configures →

About the project

MathModeling-skills is a collection of Claude Code and Codex skills for mathematical modeling competitions, guiding users through data analysis, method-specific checks, reproducible computations, figures, and paper audits without taking over modeling decisions. It is for contestants who want AI to handle mechanical checks while they retain responsibility for choosing methods and interpreting results. The catalogue entries form the project's skills, instructions, hook, setting, and plugin workflow.

zhnnky329/MathModeling-skills · 1,080 stars · on GitHub

Reuse

Borrowing it

Nothing to install: this file belongs to zhnnky329/MathModeling-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/zhnnky329/MathModeling-skills/main/.claude/skills/matlab-model-code-generator/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/zhnnky329/MathModeling-skills

Made for: Claude Code.

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README.md
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Your own site
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Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 620 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00040 $0.00620
Opus 5.5 $0.00016 $0.00248
Sonnet 5.5 $0.00008 $0.00124
Haiku 4.5 $0.00004 $0.00062

Measured 2mo ago against content hash b756cf931b99, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

matlab-model-code-generator scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/matlab-model-code-generator/SKILL.md · 67 lines

How it starts

The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Preconditions

  • G2.5 human method choice is recorded.
  • code/matlab/Qx/qx_code_plan.md exists.
  • Required cleaned data and profile exist.
  • The plan targets MATLAB or 北太天元.

Legacy artifacts may be read during migration but do not override the human decision.

Workflow

  1. Read the code plan, decision ledger, method card, probe conditions, and data profile.
  2. Confirm scope: approved main plus usable baseline. Implement a fallback only after activation.
  3. Generate conservative .m files under code/matlab/Qx/.
  4. Prefer basic matrix/table operations and avoid optional toolboxes unless the plan approves them.
  5. Save tables, metrics, useful figures, and run_summary.json under results/Qx/experiments/roundN/.
  6. Evaluate output-degeneracy and fallback-trigger metrics required by the plan.
  7. Use diary or another full log only for a failure or reproducibility warning.
  8. Run in the available compatible runtime. If unavailable, report the unexecuted state explicitly.
  9. Hand off to code-reviewer.

Script Layout

code/matlab/Qx/
├── qx_code_plan.md
├── qx_baseline.m
├── qx_main.m
└── run_all.m        % only when useful

Do not create scripts for unapproved candidates or a duplicate README.

Compatibility Rules

  • Prefer readtable, readmatrix, writetable, writematrix, save, load, and fullfile.
  • Use rng(2026) or the recorded seed.
  • Use jsonencode when supported; otherwise write the required JSON fields deterministically.
  • Avoid Live Scripts, App Designer, GUI code, Simulink, and toolbox-only functions unless explicitly approved.
  • Note any 北太天元 compatibility risk in the run summary.

Run Summary

Follow the model-code-analyzer contract, including approved decision ID, roles, paths, metrics, output-degeneracy evidence, fallback state, timing, seed, environment, warnings, and errors.

Rules

  • Do not change the selected mathematical method.
  • Do not access or overwrite raw data.
  • Do not fabricate successful execution when MATLAB/北太天元 is unavailable.
  • Keep only evidence-bearing intermediate outputs.
  • Separate Type 1 diagnostics from paper figures.

Read the full file on GitHub · 67 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 67 lines · 40 tokens per session scan A b756cf931b99

Subscribe to this mod's changes

matlab-model-code-generator is a skill published in the GitHub repository zhnnky329/MathModeling-skills (1,080 stars, last pushed 1mo ago), licensed MIT. It adds 40 tokens to every session and 620 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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