Agent skill · software engineering · alibaba
open-code-review
Performs AI-powered code review on Git changes using the `ocr` CLI from alibaba/open-code-review. Use when the user asks to review code, review a pull request, review staged/unstaged changes, review a commit, or compare branches for code quality issues. Produces line-level review comments and can automatically apply fixes when requested. With appropriate review rules, can detect various types of issues including bugs, security vulnerabilities, performance problems, and code quality concerns.
Why this skill is useful
Adds executable CLI commands for AI-powered code review that enhance the agent's ability to analyze and comment on code changes.
What it needs
Requires npm installed locally. Requires anthropic, openai account access. About 5k tokens when loaded. Last updated 2026-08-07. 19,399 stars on the source repository.
What this skill does
Open Code Review A skill for invoking open-code-review (ocr) — an open-source AI code review CLI that reads Git diffs and generates structured, line-level review comments. Workflow Step 1: Gather Business Context Analyze the review target (commits, branch, or changes) to extract concise business context. Pass this context via --background to improve review quality. Step 2: Run Code Review Run the OCR command with appropriate flags. Always pass business context via --background when available: Argument handling: Background context (RECOMMENDED): use --background "context" or -b "context" to provide business context for better review quality Default (no user arguments): reviews staged, unstaged, and untracked changes (workspace mode) Specific commit: use --commit or -c to review a single commit against its parent Branch comparison: use --from <ref> and --to <ref> to review diff between two refs Timeout: effective timeout per review group = --timeout × review rounds. Default --timeout 15 with default effort medium (2 rounds) gives 30 minutes; low/high give 15/45 minutes. Concurrency: default concurrency is 8 file workers; reduce with --concurrency <n> if rate limits are hit Preview mode: use --preview or -p to preview which files will be reviewed without running the LLM Installation: if ocr command is not found, install it by running npm i -g @alibaba-group/open-code-review Common invocation patterns: User says Command to run ----------- --------------- "review my changes" / "review the working copy" ocr review --audience agent -b "context" "review this PR" / "review feature branch" ocr review --audience agent -b "context" --from main --to <branch> "review commit abc123" ocr review --audience agent -b "context" --commit abc123 "what would be reviewed?" (dry-run) ocr review --preview Output mode: Always use --audience agent to suppress progress UI and emit only the final summary Prevent output truncation: For large reviews or restricted tool environments, redirect outpu …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills alibaba/open-code-review--267e3f