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Review local code changes before commit, surface bugs and security issues, and feed findings back into an AI coding loop. Use when an agent needs to run terminal-native code review on a Git repo and act on the results.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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| name | CodeRabbit CLI |
| description | Review local code changes before commit, surface bugs and security issues, and feed findings back into an AI coding loop. Use when an agent needs to run terminal-native code review on a Git repo and act on the results. |
AI code reviews directly in the terminal before commit. Reviews uncommitted changes, supports agent-friendly output modes, and integrates well with coding-agent fix loops.
# Install script
curl -fsSL https://cli.coderabbit.ai/install.sh | sh
# Homebrew
brew install coderabbit
The CLI binary is coderabbit, with cr as a short alias.
# Browser-based login
cr auth login
# API key login
coderabbit auth login --api-key "cr-************"
CodeRabbit links the CLI to your account so reviews can use plan limits, team learnings, and codebase context where available.
# Review current repo changes
cr
# Plain text output
cr --plain
# Minimal output for AI coding agents
cr --prompt-only
# Review against a non-main base branch
cr --base develop
# Explicitly review uncommitted changes
cr --prompt-only --type uncommitted
The CLI must be run from inside a Git repository.
cr --prompt-only for minimal agent-oriented output--plain for detailed terminal review output without the full interactive UIImplement the task, then run cr --prompt-only --type uncommitted in the background.
Fix major issues only. Run one final pass after the fixes and stop after two loops.
Use CodeRabbit to detect issues, then use the coding agent to implement the fixes. This is especially useful for race conditions, memory leaks, logic bugs, and security findings that are easier to address before commit.