Agent skill

Robustness Checker

by zhnnky329 in zhnnky329/MathModeling-skills

Design and run risk-targeted robustness, sensitivity, error, and baseline checks for an approved mathematical model, emitting compact machine evidence in lean mode and a final report in submission…

MITAuto-check passed

Install Robustness Checker

skills CLI
$ npx skills add zhnnky329/MathModeling-skills --skill robustness-checker -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install zhnnky329/MathModeling-skills robustness-checker --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/zhnnky329/MathModeling-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/robustness-checker .claude/skills/robustness-checker && rm -rf skills-src

Use ~/.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/

Facts

Skill name
robustness-checker
GitHub stars
1.1k
Token cost
~589 tokens
SKILL.md length
255 words
Files
1
Skills in repo
29
Repo updated
First seen
Licence
MIT

At a glance

Design and run risk-targeted robustness, sensitivity, error, and baseline checks for an approved mathematical model, emitting compact machine evidence in lean mode and a final report in submission…

  • Works in 5 steps: Identify load-bearing assumptions and… → Select applicable checks → State perturbation ranges and why they… → …
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Robustness Checker is an agent skill from zhnnky329/MathModeling-skills. Design and run risk-targeted robustness, sensitivity, error, and baseline checks for an approved mathematical model, emitting compact machine evidence in lean mode and a final report in submission mode.

Its SKILL.md is about 590 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: 面向数学建模竞赛的 Claude Code / Codex Skills ,支持分阶段建模流程与 Python、MATLAB/北太天元代码分支。 The licence is MIT.

Example prompts

  • “/robustness-checker”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Identify load-bearing assumptions and claims.
  2. Select applicable checks
  3. State perturbation ranges and why they are meaningful before interpreting results.
  4. Run checks with fixed seeds where stochastic.
  5. Save compact metrics to

What it can do on your machine

Read from SKILL.md and the folder at commit 0b46e9c. 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

Robustness Checker loads about 589 tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 255 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~55
When it runs · the whole SKILL.md, loaded when a task matches
~589

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 zhnnky329/MathModeling-skills at commit 0b46e9c, republished under its MIT licence (© zhnnky329). 255 words, ~589 tokens.

Download SKILL.mdSave it as .claude/skills/robustness-checker/SKILL.md (or your agent's skills folder).
name
robustness-checker
description
Design and run risk-targeted robustness, sensitivity, error, and baseline checks for an approved mathematical model, emitting compact machine evidence in lean mode and a final report in submission mode.

Purpose

Test the claims most likely to fail. Choose checks from the model's assumptions and decision risks rather than filling a generic checklist.

Preconditions

  • Approved main and usable baseline executed.
  • Run summary, method card, probe summary, and relevant outputs exist.
  • Claim or decision to be tested is known.

Workflow

  1. Identify load-bearing assumptions and claims.
  2. Select applicable checks:
    • parameter or weight perturbation;
    • alternate split or resampling;
    • seed stability;
    • outlier/missing-data treatment;
    • constraint/capacity perturbation;
    • baseline comparison;
    • output concentration/rank stability;
    • error and uncertainty analysis.
  3. State perturbation ranges and why they are meaningful before interpreting results.
  4. Run checks with fixed seeds where stochastic.
  5. Save compact metrics to:

robustness/Qx/qx_robustness_summary.json

  1. In submission, also save:

robustness/Qx/qx_robustness_report.md

  1. If the stability verdict affects method continuation or claim scope, invoke one choice card and log the human answer in qx_decisions.jsonl.

Summary Contract

Record:

  • tested claim/assumption;
  • input and result source paths;
  • perturbation;
  • metric and threshold if predeclared;
  • observed value;
  • status PASS, CONDITIONAL, or FAIL;
  • limitation;
  • fallback-trigger relevance.

Rules

  • Do not run irrelevant checks merely to reach a count.
  • Do not invent a threshold after seeing the result without labeling it exploratory.
  • Do not convert stability metrics into the human confidence verdict.
  • Do not create robustness-checker_modeler_decision.md.
  • A failed robustness check is evidence for adjust/fallback/claim downgrade, not permission for AI to decide.

Verification

  • Every major final claim has a supporting check or explicit limitation.
  • Perturbations are justified and reproducible.
  • Baseline and main comparisons remain metric-compatible.
  • Concentration/degeneracy risks are revisited when relevant.
  • Submission report sources its numbers from the summary and experiment artifacts.

© zhnnky329, 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 .codex/skills/robustness-checker of zhnnky329/MathModeling-skills.

Open the folder on GitHubat commit 0b46e9c

Compare with similar skills

Robustness Checker 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.

Robustness Checker compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Robustness Checker this skillzhnnky329/MathModeling-skills1.1k—~589Automated safety check: PassMIT
Riskalsk1992/CloddsBot3k—~2.4kAutomated safety check: PassMIT
Trader Riskruvnet/ruflo74k—~358Automated safety check: NotesMIT
Comment Checkercode-yeongyu/oh-my-openagent70k—~160Automated safety check: PassCustom licence
Risk Management Specialistalirezarezvani/claude-skills28k1 repos~4.1kAutomated safety check: PassMIT
Robustnessbrycewang-stanford/Auto-Empirical-Research-Skills4.6k—~1.4kAutomated safety check: PassCustom licence

Similar skills

  • Risk

    alsk1992/CloddsBot

    Unified risk engine with VaR, stress testing, volatility regimes, and automated controls

    3k GitHub stars~2.4k tokensUpdated 8 days ago
    Testing & QAAuto-check passed
  • Trader Risk

    ruvnet/ruflo

    Assess portfolio risk using npx neural-trader — VaR, CVaR, Sharpe, position sizing, circuit breaker status

    74k GitHub stars~358 tokensUpdated yesterday
    Auto-check: notes
  • Comment Checker

    code-yeongyu/oh-my-openagent

    A skill your agent uses when Codex needs to understand or respond to automatic comment-checker feedback emitted after an edit-like PostToolUse hook.

    70k GitHub stars~160 tokensUpdated today
    Auto-check passed
  • Risk Management Specialist

    alirezarezvani/claude-skills

    Medical device risk management specialist implementing ISO 14971 throughout product lifecycle.

    28k GitHub starsUsed in 1 repo~4.1k tokens
    Legal & ComplianceAuto-check passed
  • Robustness

    brycewang-stanford/Auto-Empirical-Research-Skills

    Checklist of empirical robustness tests for finance/economics papers

    4.6k GitHub stars~1.4k tokensUpdated 5 days ago
    Research & ScienceAuto-check passed
  • Conducting Cyber Risk Assessment With Nist 800 30

    mukul975/Anthropic-Cybersecurity-Skills

    Conduct a defensible cybersecurity risk assessment using the NIST SP 800-30 Rev 1 methodology: prepare scope and a risk model, identify threat sources and threat events, identify vulnerabilities and…

    34k GitHub stars~2.5k tokensUpdated 1 mo ago
    Legal & ComplianceAuto-check passed

More from zhnnky329/MathModeling-skills

All 29 skills in this repo
  • Method Selector

    zhnnky329/MathModeling-skills

    Build and risk-screen a compact role-based method shortlist for a mathematical-modeling subquestion.

    1.1k GitHub stars~1.6k tokensUpdated 17 days ago
    Auto-check passed
  • Problem Classifier

    zhnnky329/MathModeling-skills

    Classify each parsed mathematical-modeling subquestion by required output and structure, surface ambiguous framing trade-offs for human choice, and record primary/secondary task types without…

    1.1k GitHub stars~611 tokensUpdated 17 days ago
    Auto-check passed
  • Data Auditor Cleaner

    zhnnky329/MathModeling-skills

    Map contest attachments to subquestions, audit and clean raw data, and emit one reusable data profile with quality, coverage, imbalance, concentration, and method-readiness evidence for downstream…

    1.1k GitHub stars~1.1k tokensUpdated 17 days ago
    Auto-check passed
  • Decision Prompt Builder

    zhnnky329/MathModeling-skills

    Build one compact choice card at a genuine mathematical-modeling judgment point.

    1.1k GitHub stars~837 tokensUpdated 17 days ago
    Auto-check passed
  • Matlab Model Code Generator

    zhnnky329/MathModeling-skills

    Generate and run minimal reproducible MATLAB or Beita Tianyuan compatible code for the human-approved main method and usable baseline, with compact experiment artifacts and a canonical run summary.

    1.1k GitHub stars~685 tokensUpdated 17 days ago
    Auto-check passed
  • Model Code Analyzer

    zhnnky329/MathModeling-skills

    Translate a human-approved main method and usable baseline into a minimal language-neutral implementation and experiment contract.

    1.1k GitHub stars~881 tokensUpdated 17 days ago
    Auto-check passed

Questions about Robustness Checker

What does Robustness Checker do?

Design and run risk-targeted robustness, sensitivity, error, and baseline checks for an approved mathematical model, emitting compact machine evidence in lean mode and a final report in submission…. Robustness Checker is an agent skill from zhnnky329/MathModeling-skills. Design and run risk-targeted robustness, sensitivity, error, and baseline checks for an approved mathematical model, emitting compact machine evidence in lean mode and a final report in submission mode.

How do I install Robustness Checker in Claude Code?

Run `npx skills add zhnnky329/MathModeling-skills --skill robustness-checker -a claude-code`. Or copy the skill folder (.codex/skills/robustness-checker in zhnnky329/MathModeling-skills) into .claude/skills/robustness-checker in your project. Claude Code loads it when a task matches its description.

How do I install Robustness Checker in Codex?

Run `npx skills add zhnnky329/MathModeling-skills --skill robustness-checker -a codex`. Or copy the skill folder (.codex/skills/robustness-checker in zhnnky329/MathModeling-skills) into .agents/skills/robustness-checker in your project. Codex loads it when a task matches its description.

Can I use Robustness Checker 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 zhnnky329/MathModeling-skills --skill robustness-checker -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/robustness-checker, .gemini/skills/robustness-checker, .github/skills/robustness-checker and .opencode/skills/robustness-checker in your project.

What does Robustness Checker need to run?

SKILL.md names no scripts, command-line tools or credentials: Robustness Checker is instructions for the agent only.

Does Robustness Checker 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 Robustness Checker 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 Robustness Checker use?

Robustness Checker 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 Robustness Checker use?

About 589 tokens (SKILL.md is roughly 2.4k 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 Robustness Checker?

Skills that share tags, products or a category with Robustness Checker: Risk (alsk1992/CloddsBot, 3k stars), Trader Risk (ruvnet/ruflo, 74k stars), Comment Checker (code-yeongyu/oh-my-openagent, 70k stars) and Risk Management Specialist (alirezarezvani/claude-skills, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Robustness Checker?

zhnnky329 (a GitHub user) maintains it in zhnnky329/MathModeling-skills, which has 1,060 GitHub stars. The repository holds 29 skills in this directory. The repository was last updated on September 24, 2026.

Source: zhnnky329/MathModeling-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.