Code Review Checklist
shareAI-lab/learn-claude-code
Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.
Detect whether approved modeling code is Python or MATLAB/Beita Tianyuan and route it to the matching reviewer using the compact named-check review contract.
Install Code Reviewer
$ npx skills add zhnnky329/MathModeling-skills --skill code-reviewer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install zhnnky329/MathModeling-skills code-reviewer --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/code-reviewer .claude/skills/code-reviewer && 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 "code-reviewer" agent skill from https://github.com/zhnnky329/MathModeling-skills/tree/main/.codex/skills/code-reviewer into .claude/skills/code-reviewer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-reviewer", 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/code-reviewerType 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 code-reviewer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install zhnnky329/MathModeling-skills code-reviewer --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/code-reviewer .agents/skills/code-reviewer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "code-reviewer" agent skill from https://github.com/zhnnky329/MathModeling-skills/tree/main/.codex/skills/code-reviewer into .agents/skills/code-reviewer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-reviewer", 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 code-reviewer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install zhnnky329/MathModeling-skills code-reviewer --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/code-reviewer .cursor/skills/code-reviewer && 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 "code-reviewer" agent skill from https://github.com/zhnnky329/MathModeling-skills/tree/main/.codex/skills/code-reviewer into .cursor/skills/code-reviewer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-reviewer", 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/code-reviewer--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 code-reviewer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install zhnnky329/MathModeling-skills code-reviewer --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/code-reviewer .gemini/skills/code-reviewer && 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 "code-reviewer" agent skill from https://github.com/zhnnky329/MathModeling-skills/tree/main/.codex/skills/code-reviewer into .gemini/skills/code-reviewer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-reviewer", 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 code-reviewerInstalls 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 code-reviewer -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/code-reviewer .github/skills/code-reviewer && 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 "code-reviewer" agent skill from https://github.com/zhnnky329/MathModeling-skills/tree/main/.codex/skills/code-reviewer into .github/skills/code-reviewer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-reviewer", 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 code-reviewer -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 code-reviewer --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/code-reviewer .opencode/skills/code-reviewer && 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 "code-reviewer" agent skill from https://github.com/zhnnky329/MathModeling-skills/tree/main/.codex/skills/code-reviewer into .opencode/skills/code-reviewer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-reviewer", 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
code-reviewer- GitHub stars
- 1.1k
- Token cost
- ~273 tokens
- SKILL.md length
- 120 words
- Files
- 1
- Skills in repo
- 29
- Repo updated
- First seen
- Licence
- MIT
At a glance
Detect whether approved modeling code is Python or MATLAB/Beita Tianyuan and route it to the matching reviewer using the compact named-check review contract.
- Works in 5 steps: Inspect target code extensions and the… → Route .py work to python-code-reviewer. → Route .m work to matlab-code-reviewer. → …
- Tasks that involve Code review
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Tasks that involve Contract review
What it does
Code Reviewer is an agent skill from zhnnky329/MathModeling-skills. Detect whether approved modeling code is Python or MATLAB/Beita Tianyuan and route it to the matching reviewer using the compact named-check review contract.
Its SKILL.md is about 270 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 Development, covering Code review and Contract review. It works with Python. 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.
When your agent uses it
- Tasks that involve Code review
- Tasks that involve Contract review
Example prompts
- “/code-reviewer”
Requirements
- Python 3
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Inspect target code extensions and the implementation target in qx_code_plan.md.
- Route .py work to python-code-reviewer.
- Route .m work to matlab-code-reviewer.
- If both languages are intentionally present, review each separately.
- If the language or target is ambiguous, report the exact conflict.
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
Code Reviewer loads about 273 tokens when it runs. Until then it costs about 43 tokens; SKILL.md has 120 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 zhnnky329/MathModeling-skills at commit 0b46e9c, republished under its MIT licence (© zhnnky329). 120 words, ~273 tokens.
Download SKILL.mdSave it as
.claude/skills/code-reviewer/SKILL.md (or your agent's skills folder).- name
- code-reviewer
- description
- Detect whether approved modeling code is Python or MATLAB/Beita Tianyuan and route it to the matching reviewer using the compact named-check review contract.
Workflow
- Inspect target code extensions and the implementation target in
qx_code_plan.md. - Route
.pywork topython-code-reviewer. - Route
.mwork tomatlab-code-reviewer. - If both languages are intentionally present, review each separately.
- If the language or target is ambiguous, report the exact conflict.
Review Contract
New reviews write JSON and evaluate these named checks:
syntaxinput_contractmethod_alignmentreproducibilityoutput_contract
Additional checks are allowed when risk-driven. A review passes when all required applicable checks pass; no arbitrary bullet count is used.
Rules
- Do not perform a second independent review in this router.
- Do not infer success because scripts exist.
- Do not require a Markdown review when the canonical JSON review exists.
- Read legacy Markdown reviews only for compatibility.
© 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/code-reviewer of zhnnky329/MathModeling-skills.
Open the folder on GitHubat commit 0b46e9c
Compare with similar skills
Code Reviewer 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 |
|---|---|---|---|---|---|---|
| Code Reviewer this skillzhnnky329/MathModeling-skills | 1.1k | — | ~273 | Automated safety check: Pass | MIT | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Dignified Python Standardsdocling-project/docling | 69k | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | |
| Code Review Skillawesome-skills/code-review-skill | 2.1k | — | ~2.8k | Automated safety check: Notes | MIT | |
| Docling Pull Request Reviewdocling-project/docling | 69k | — | ~1k | Automated safety check: Pass | MIT | |
| Git History Bug Auditben-manes/caffeine | 18k | — | ~3.3k | Automated safety check: Pass | Apache-2.0 |
Similar skills
Dignified Python Standards
docling-project/docling
Applies opinionated production Python conventions chosen by the project's Python version: modern type syntax, pathlib, explicit checks and interface guidance.
Code Review Skill
awesome-skills/code-review-skill
Provides comprehensive code review guidance for React 19, Vue 3, Angular 17+, Svelte 5, Rust, TypeScript, Java, Java 8, PHP, Ruby, Rails, Python, Django, FastAPI, Go, C/.NET, Kotlin, Swift, Dart…
Docling Pull Request Review
docling-project/docling
Reviews or re-reviews a Docling pull request in fixed stages, with findings that can be reproduced and an explicit record of every check that was run.
Git History Bug Audit
ben-manes/caffeine
Audits a module by walking its git history commit by commit, tracking unresolved issues forward, and reporting the ones that survive to HEAD as findings.
Code Reviewer
jewbetcha/opentrace
Comprehensive code review skill for TypeScript, JavaScript, Python, Swift, Kotlin, Go.
More from zhnnky329/MathModeling-skills
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zhnnky329/MathModeling-skills
Build and risk-screen a compact role-based method shortlist for a mathematical-modeling subquestion.
Problem Classifier
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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…
Data Auditor Cleaner
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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…
Decision Prompt Builder
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Build one compact choice card at a genuine mathematical-modeling judgment point.
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.
Model Code Analyzer
zhnnky329/MathModeling-skills
Translate a human-approved main method and usable baseline into a minimal language-neutral implementation and experiment contract.
Related
Works with
Categories
Questions about Code Reviewer
What does Code Reviewer do?
Detect whether approved modeling code is Python or MATLAB/Beita Tianyuan and route it to the matching reviewer using the compact named-check review contract. Code Reviewer is an agent skill from zhnnky329/MathModeling-skills. Detect whether approved modeling code is Python or MATLAB/Beita Tianyuan and route it to the matching reviewer using the compact named-check review contract.
When should I use Code Reviewer?
Code Reviewer fits situations like: tasks that involve Code review; tasks that involve Contract review.
How do I install Code Reviewer in Claude Code?
Run `npx skills add zhnnky329/MathModeling-skills --skill code-reviewer -a claude-code`. Or copy the skill folder (.codex/skills/code-reviewer in zhnnky329/MathModeling-skills) into .claude/skills/code-reviewer in your project. Claude Code loads it when a task matches its description.
How do I install Code Reviewer in Codex?
Run `npx skills add zhnnky329/MathModeling-skills --skill code-reviewer -a codex`. Or copy the skill folder (.codex/skills/code-reviewer in zhnnky329/MathModeling-skills) into .agents/skills/code-reviewer in your project. Codex loads it when a task matches its description.
Can I use Code Reviewer 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 code-reviewer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/code-reviewer, .gemini/skills/code-reviewer, .github/skills/code-reviewer and .opencode/skills/code-reviewer in your project.
What does Code Reviewer need to run?
SKILL.md names no scripts, command-line tools or credentials: Code Reviewer is instructions for the agent only. Our summary lists: Python 3.
Does Code Reviewer 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 Code Reviewer 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 Code Reviewer use?
Code Reviewer 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 Code Reviewer use?
About 273 tokens (SKILL.md is roughly 1.1k 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 Code Reviewer?
Skills that share tags, products or a category with Code Reviewer: Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars), Dignified Python Standards (docling-project/docling, 69k stars), Code Review Skill (awesome-skills/code-review-skill, 2.1k stars) and Docling Pull Request Review (docling-project/docling, 69k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Code Reviewer?
zhnnky329 (a GitHub user) maintains it in zhnnky329/MathModeling-skills, which has 1,061 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.