Risk
alsk1992/CloddsBot
Unified risk engine with VaR, stress testing, volatility regimes, and automated controls
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…
$ npx skills add zhnnky329/MathModeling-skills --skill robustness-checker -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install zhnnky329/MathModeling-skills robustness-checker --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/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-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 "robustness-checker" agent skill from https://github.com/zhnnky329/MathModeling-skills/tree/main/.codex/skills/robustness-checker into .claude/skills/robustness-checker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "robustness-checker", 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/zhnnky329/MathModeling-skills/tree/main/.codex/skills/robustness-checkerType 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 zhnnky329/MathModeling-skills --skill robustness-checker -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install zhnnky329/MathModeling-skills robustness-checker --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zhnnky329/MathModeling-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.codex/skills/robustness-checker .agents/skills/robustness-checker && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "robustness-checker" agent skill from https://github.com/zhnnky329/MathModeling-skills/tree/main/.codex/skills/robustness-checker into .agents/skills/robustness-checker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "robustness-checker", 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 zhnnky329/MathModeling-skills --skill robustness-checker -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install zhnnky329/MathModeling-skills robustness-checker --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zhnnky329/MathModeling-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.codex/skills/robustness-checker .cursor/skills/robustness-checker && 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 "robustness-checker" agent skill from https://github.com/zhnnky329/MathModeling-skills/tree/main/.codex/skills/robustness-checker into .cursor/skills/robustness-checker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "robustness-checker", 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/zhnnky329/MathModeling-skills.git --path .codex/skills/robustness-checker--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 zhnnky329/MathModeling-skills --skill robustness-checker -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install zhnnky329/MathModeling-skills robustness-checker --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zhnnky329/MathModeling-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.codex/skills/robustness-checker .gemini/skills/robustness-checker && 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 "robustness-checker" agent skill from https://github.com/zhnnky329/MathModeling-skills/tree/main/.codex/skills/robustness-checker into .gemini/skills/robustness-checker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "robustness-checker", 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 zhnnky329/MathModeling-skills robustness-checkerInstalls 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 zhnnky329/MathModeling-skills --skill robustness-checker -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/zhnnky329/MathModeling-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/.codex/skills/robustness-checker .github/skills/robustness-checker && 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 "robustness-checker" agent skill from https://github.com/zhnnky329/MathModeling-skills/tree/main/.codex/skills/robustness-checker into .github/skills/robustness-checker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "robustness-checker", 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 zhnnky329/MathModeling-skills --skill robustness-checker -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install zhnnky329/MathModeling-skills robustness-checker --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zhnnky329/MathModeling-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.codex/skills/robustness-checker .opencode/skills/robustness-checker && 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 "robustness-checker" agent skill from https://github.com/zhnnky329/MathModeling-skills/tree/main/.codex/skills/robustness-checker into .opencode/skills/robustness-checker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "robustness-checker", 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.
robustness-checkerDesign 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.
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.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 0b46e9c. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from zhnnky329/MathModeling-skills at commit 0b46e9c, republished under its MIT licence (© zhnnky329). 255 words, ~589 tokens.
.claude/skills/robustness-checker/SKILL.md (or your agent's skills folder).Test the claims most likely to fail. Choose checks from the model's assumptions and decision risks rather than filling a generic checklist.
robustness/Qx/qx_robustness_summary.json
submission, also save:robustness/Qx/qx_robustness_report.md
qx_decisions.jsonl.Record:
PASS, CONDITIONAL, or FAIL;robustness-checker_modeler_decision.md.© zhnnky329, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .codex/skills/robustness-checker of zhnnky329/MathModeling-skills.
Open the folder on GitHubat commit 0b46e9c
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Robustness Checker this skillzhnnky329/MathModeling-skills | 1.1k | — | ~589 | Automated safety check: Pass | MIT | |
| Riskalsk1992/CloddsBot | 3k | — | ~2.4k | Automated safety check: Pass | MIT | |
| Trader Riskruvnet/ruflo | 74k | — | ~358 | Automated safety check: Notes | MIT | |
| Comment Checkercode-yeongyu/oh-my-openagent | 70k | — | ~160 | Automated safety check: Pass | Custom licence | |
| Risk Management Specialistalirezarezvani/claude-skills | 28k | 1 repos | ~4.1k | Automated safety check: Pass | MIT | |
| Robustnessbrycewang-stanford/Auto-Empirical-Research-Skills | 4.6k | — | ~1.4k | Automated safety check: Pass | Custom licence |
alsk1992/CloddsBot
Unified risk engine with VaR, stress testing, volatility regimes, and automated controls
ruvnet/ruflo
Assess portfolio risk using npx neural-trader — VaR, CVaR, Sharpe, position sizing, circuit breaker status
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.
alirezarezvani/claude-skills
Medical device risk management specialist implementing ISO 14971 throughout product lifecycle.
brycewang-stanford/Auto-Empirical-Research-Skills
Checklist of empirical robustness tests for finance/economics papers
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…
zhnnky329/MathModeling-skills
Build and risk-screen a compact role-based method shortlist for a mathematical-modeling subquestion.
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…
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…
zhnnky329/MathModeling-skills
Build one compact choice card at a genuine mathematical-modeling judgment point.
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.
zhnnky329/MathModeling-skills
Translate a human-approved main method and usable baseline into a minimal language-neutral implementation and experiment contract.
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.
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.
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.
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.
SKILL.md names no scripts, command-line tools or credentials: Robustness Checker is instructions for the agent only.
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.
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.
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.
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.
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.
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.