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.
Perform a language-agnostic first-pass code review covering logic errors, bad practices, operation ordering, magic strings, pattern improvements, strict type checking, and SQL injection.
Install Code Review
$ npx skills add maiobarbero/my-ai-workflow --skill code-review -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install maiobarbero/my-ai-workflow code-review --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/maiobarbero/my-ai-workflow.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/code-review .claude/skills/code-review && 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-review" agent skill from https://github.com/maiobarbero/my-ai-workflow/tree/main/skills/code-review into .claude/skills/code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-review", 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/maiobarbero/my-ai-workflow/tree/main/skills/code-reviewType 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 maiobarbero/my-ai-workflow --skill code-review -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install maiobarbero/my-ai-workflow code-review --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/maiobarbero/my-ai-workflow.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/code-review .agents/skills/code-review && 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-review" agent skill from https://github.com/maiobarbero/my-ai-workflow/tree/main/skills/code-review into .agents/skills/code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-review", 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 maiobarbero/my-ai-workflow --skill code-review -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install maiobarbero/my-ai-workflow code-review --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/maiobarbero/my-ai-workflow.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/code-review .cursor/skills/code-review && 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-review" agent skill from https://github.com/maiobarbero/my-ai-workflow/tree/main/skills/code-review into .cursor/skills/code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-review", 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/maiobarbero/my-ai-workflow.git --path skills/code-review--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 maiobarbero/my-ai-workflow --skill code-review -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install maiobarbero/my-ai-workflow code-review --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/maiobarbero/my-ai-workflow.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/code-review .gemini/skills/code-review && 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-review" agent skill from https://github.com/maiobarbero/my-ai-workflow/tree/main/skills/code-review into .gemini/skills/code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-review", 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 maiobarbero/my-ai-workflow code-reviewInstalls 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 maiobarbero/my-ai-workflow --skill code-review -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/maiobarbero/my-ai-workflow.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/code-review .github/skills/code-review && 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-review" agent skill from https://github.com/maiobarbero/my-ai-workflow/tree/main/skills/code-review into .github/skills/code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-review", 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 maiobarbero/my-ai-workflow --skill code-review -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install maiobarbero/my-ai-workflow code-review --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/maiobarbero/my-ai-workflow.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/code-review .opencode/skills/code-review && 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-review" agent skill from https://github.com/maiobarbero/my-ai-workflow/tree/main/skills/code-review into .opencode/skills/code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-review", 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-review- GitHub stars
- 140
- Token cost
- ~1.2k tokens
- SKILL.md length
- 588 words
- Files
- 1
- Skills in repo
- 7
- Repo updated
- First seen
- Licence
- None found
At a glance
Perform a language-agnostic first-pass code review covering logic errors, bad practices, operation ordering, magic strings, pattern improvements, strict type checking, and SQL injection.
- Works in 6 steps: Logic errors → Operation ordering → Bad practices → …
- Asked to review code
- SKILL.md covers Quick start, Input handling, Review passes and Output format, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Code Review is an agent skill from maiobarbero/my-ai-workflow. Perform a language-agnostic first-pass code review covering logic errors, bad practices, operation ordering, magic strings, pattern improvements, strict type checking, and SQL injection. Use when asked to review code, audit a file, or check a diff. Accepts a single file, a diff with multiple hunks, or can explore the repo when needed to resolve external references. If no input is provided, ask the user to share a file or diff before proceeding.
Its SKILL.md is about 1.2k 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, Type safety and Web application vulnerabilities.
When your agent uses it
- Asked to review code
- Tasks that involve Code review
- Tasks that involve Type safety
Example prompts
- “/code-review”
Workflow steps
6 steps, taken from the step headings in SKILL.md.
- Logic errors
- Operation ordering
- Bad practices
- Security
- Magic strings and values
- Pattern improvements
What it can do on your machine
Read from SKILL.md and the folder at commit 7748c8e. 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 Review loads about 1.2k tokens when it runs. Until then it costs about 115 tokens; SKILL.md has 588 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
Without a licence we can't republish the file, so here is its outline and opening line. It has 588 words (~1,198 tokens).
“If the user has not provided a file or diff, ask:”
- name
- code-review
Files
Just SKILL.md in skills/code-review of maiobarbero/my-ai-workflow.
Open the folder on GitHubat commit 7748c8e
Compare with similar skills
Code Review 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 Review this skillmaiobarbero/my-ai-workflow | 140 | — | ~1.2k | Automated safety check: Pass | None | |
| Dignified Python Standardsdocling-project/docling | 68k | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | |
| Code ReviewerYikai-Liao/symusic | 189 | 1 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Code Reviewpolyipseity/obsidian-terminal | 948 | — | ~1.6k | Automated safety check: Pass | AGPL-3.0 | |
| Typescript React ReviewerSuFxGIT/scoutarr | 114 | — | ~1.7k | Automated safety check: Pass | None | |
| Cwe Code ReviewSpecterOps/skills | 702 | — | ~2.4k | Automated safety check: Pass | Apache-2.0 |
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Related
Categories
Questions about Code Review
What does Code Review do?
Perform a language-agnostic first-pass code review covering logic errors, bad practices, operation ordering, magic strings, pattern improvements, strict type checking, and SQL injection. Code Review is an agent skill from maiobarbero/my-ai-workflow. Perform a language-agnostic first-pass code review covering logic errors, bad practices, operation ordering, magic strings, pattern improvements, strict type checking, and SQL injection.
When should I use Code Review?
Code Review fits situations like: asked to review code; tasks that involve Code review; tasks that involve Type safety.
How do I install Code Review in Claude Code?
Run `npx skills add maiobarbero/my-ai-workflow --skill code-review -a claude-code`. Or copy the skill folder (skills/code-review in maiobarbero/my-ai-workflow) into .claude/skills/code-review in your project. Claude Code loads it when a task matches its description.
How do I install Code Review in Codex?
Run `npx skills add maiobarbero/my-ai-workflow --skill code-review -a codex`. Or copy the skill folder (skills/code-review in maiobarbero/my-ai-workflow) into .agents/skills/code-review in your project. Codex loads it when a task matches its description.
Can I use Code Review 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 maiobarbero/my-ai-workflow --skill code-review -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-review, .gemini/skills/code-review, .github/skills/code-review and .opencode/skills/code-review in your project.
What does Code Review need to run?
SKILL.md names no scripts, command-line tools or credentials: Code Review is instructions for the agent only.
Does Code Review 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 Review 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 Review use?
No licence was found for Code Review or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Code Review use?
About 1.2k tokens (SKILL.md is roughly 4.8k 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 Review?
Skills that share tags, products or a category with Code Review: Dignified Python Standards (docling-project/docling, 68k stars), Code Reviewer (Yikai-Liao/symusic, 189 stars), Code Review (polyipseity/obsidian-terminal, 948 stars) and Typescript React Reviewer (SuFxGIT/scoutarr, 114 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Code Review?
maiobarbero (a GitHub user) maintains it in maiobarbero/my-ai-workflow, which has 140 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on May 7, 2026.
Source: maiobarbero/my-ai-workflow on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.