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.
Review code changes for bugs, security issues, and improvements
Install Code Review
$ npx skills add prapaa-ai/agav --skill code-review -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install prapaa-ai/agav 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/prapaa-ai/agav.git skills-src && mkdir -p .claude/skills && cp -r skills-src/source/skills/bundled/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/prapaa-ai/agav/tree/main/source/skills/bundled/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/prapaa-ai/agav/tree/main/source/skills/bundled/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 prapaa-ai/agav --skill code-review -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install prapaa-ai/agav code-review --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/prapaa-ai/agav.git skills-src && mkdir -p .agents/skills && cp -r skills-src/source/skills/bundled/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/prapaa-ai/agav/tree/main/source/skills/bundled/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 prapaa-ai/agav --skill code-review -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install prapaa-ai/agav code-review --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/prapaa-ai/agav.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/source/skills/bundled/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/prapaa-ai/agav/tree/main/source/skills/bundled/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/prapaa-ai/agav.git --path source/skills/bundled/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 prapaa-ai/agav --skill code-review -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install prapaa-ai/agav code-review --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/prapaa-ai/agav.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/source/skills/bundled/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/prapaa-ai/agav/tree/main/source/skills/bundled/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 prapaa-ai/agav 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 prapaa-ai/agav --skill code-review -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/prapaa-ai/agav.git skills-src && mkdir -p .github/skills && cp -r skills-src/source/skills/bundled/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/prapaa-ai/agav/tree/main/source/skills/bundled/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 prapaa-ai/agav --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 prapaa-ai/agav code-review --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/prapaa-ai/agav.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/source/skills/bundled/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/prapaa-ai/agav/tree/main/source/skills/bundled/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
- 147
- Token cost
- ~384 tokens
- SKILL.md length
- 173 words
- Files
- 1
- Skills in repo
- 12
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Review code changes for bugs, security issues, and improvements
- Works in 7 steps: Run git diff (or git diff --cached for… → Read each changed file in full to… → Analyze every change for the following… → …
- Tasks that involve Code review
- Calls git
What it does
Code Review is an agent skill from prapaa-ai/agav. Review code changes for bugs, security issues, and improvements
Its SKILL.md is about 380 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. It works with Git. The repository describes itself as: Terminal-native AI coding assistant for real repositories. Inspect code, edit files, run tests, and verify changes from the CLI. The licence is Apache-2.0.
When your agent uses it
- Tasks that involve Code review
Example prompts
- “/code-review”
Requirements
- Pre-approved tools (allowed-tools): read_file, grep_search, find_files, list_directory, run_command
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Run git diff (or git diff --cached for staged changes) to obtain the changeset. If specific files are provided, scope the review to those…
- Read each changed file in full to understand surrounding context, not just the diff hunks.
- Analyze every change for the following categories
- For each finding, report
- Group findings by file. Present critical issues first, then warnings, then suggestions.
- If no issues are found, confirm the changes look correct and explain why.
- Keep feedback actionable. Avoid vague commentary; always suggest a concrete fix.
What it can do on your machine
Read from SKILL.md and the folder at commit 9e9582a. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
read_filegrep_searchfind_fileslist_directoryrun_command
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
git
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.
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 384 tokens when it runs. Until then it costs about 19 tokens; SKILL.md has 173 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 prapaa-ai/agav at commit 9e9582a, republished under its Apache-2.0 licence (© prapaa-ai). 173 words, ~384 tokens.
Download SKILL.mdSave it as
.claude/skills/code-review/SKILL.md (or your agent's skills folder).- name
- code-review
- description
- Review code changes for bugs, security issues, and improvements
- allowed-tools
- read_file, grep_search, find_files, list_directory, run_command
- version
- 1.0.0
- invocation
- both
- tags
- review, quality, bugs
Code Review
Review the current git diff or specified files for defects and improvements.
Instructions
- Run
git diff(orgit diff --cachedfor staged changes) to obtain the changeset. If specific files are provided, scope the review to those files. - Read each changed file in full to understand surrounding context, not just the diff hunks.
- Analyze every change for the following categories:
- Bugs: Logic errors, off-by-one mistakes, null/undefined access, race conditions, missing error handling.
- Security: Injection vulnerabilities, hardcoded secrets, unsafe deserialization, missing auth checks.
- Performance: Unnecessary allocations, O(n^2) patterns, missing caching opportunities, redundant I/O.
- Style: Naming inconsistencies, dead code, overly complex expressions, missing type annotations.
- For each finding, report:
- File path and line number
- Severity: critical, warning, or suggestion
- A concise description of the issue
- A recommended fix or improvement
- Group findings by file. Present critical issues first, then warnings, then suggestions.
- If no issues are found, confirm the changes look correct and explain why.
- Keep feedback actionable. Avoid vague commentary; always suggest a concrete fix.
© prapaa-ai, Apache-2.0. 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 source/skills/bundled/code-review of prapaa-ai/agav.
Open the folder on GitHubat commit 9e9582a
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 skillprapaa-ai/agav | 147 | — | ~384 | Automated safety check: Pass | Apache-2.0 | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Understand Diff AnalysisEgonex-AI/Understand-Anything | 85k | 1 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Open Code Review CLIalibaba/open-code-review | 44k | — | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Open Code Review Delegatealibaba/open-code-review | 44k | — | ~2k | Automated safety check: Pass | Apache-2.0 | |
| PR Review State Fetchprisma/orm | 48k | — | ~767 | Automated safety check: Pass | Apache-2.0 |
Similar skills
Understand Diff Analysis
Egonex-AI/Understand-Anything
Reads your git changes or a pull request against a prebuilt knowledge graph of the project to explain what changed, which components are affected and what is risky.
Open Code Review CLI
alibaba/open-code-review
Runs the ocr command-line tool to review Git changes, a commit or a branch comparison with an AI model, returning line-level comments and optionally applying fixes.
Open Code Review Delegate
alibaba/open-code-review
Has the host agent do the code review itself while the ocr CLI handles file selection and rule lookup, covering workspace changes, branch ranges or single commits.
- Official
PR Review State Fetch
prisma/orm
Fetches a pull request's canonical review state as JSON, validates it, and renders markdown, a text summary and triage target files from it using bundled scripts.
Knowledge Graph PR Review
tirth8205/code-review-graph
Reviews a pull request or branch diff with a code knowledge graph and produces a structured review that includes blast-radius analysis.
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Related
Works with
Categories
Questions about Code Review
What does Code Review do?
Review code changes for bugs, security issues, and improvements. Code Review is an agent skill from prapaa-ai/agav.
When should I use Code Review?
Code Review fits situations like: tasks that involve Code review.
How do I install Code Review in Claude Code?
Run `npx skills add prapaa-ai/agav --skill code-review -a claude-code`. Or copy the skill folder (source/skills/bundled/code-review in prapaa-ai/agav) 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 prapaa-ai/agav --skill code-review -a codex`. Or copy the skill folder (source/skills/bundled/code-review in prapaa-ai/agav) 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 prapaa-ai/agav --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?
Going by SKILL.md and its folder, Code Review needs the command-line tools its instructions call (git). Its frontmatter pre-approves these tools: read_file, grep_search, find_files, list_directory, run_command.
Does Code Review access the network?
SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. 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?
Code Review is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Code Review use?
About 384 tokens (SKILL.md is roughly 1.5k 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: Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars), Understand Diff Analysis (Egonex-AI/Understand-Anything, 85k stars), Open Code Review CLI (alibaba/open-code-review, 44k stars) and Open Code Review Delegate (alibaba/open-code-review, 44k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Code Review?
prapaa-ai (a GitHub organization) maintains it in prapaa-ai/agav, which has 147 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on October 7, 2026.
Source: prapaa-ai/agav on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.