Skill detail
open-code-review
Runs the ocr CLI to perform AI-powered code review on Git changes, producing line-level comments for bugs, security, performance, and quality issues.
Needs (stated): CLI tool
Inspect before use
Read the source instructions and check the requirements before you install this skill.
SKILL.md
The saved excerpt is a snapshot from when this skill was listed. The external source remains the complete and most current version.
--- name: open-code-review description: > 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. license: Apache-2.0 compatibility: > Requires the `ocr` CLI installed (via `npm install -g @alibaba-group/open-code-review` or GitHub release binary). Requires a configured supported LLM provider before first run (protocols: Anthropic, OpenAI Chat Completions, OpenAI Responses, AWS Bedrock). metadata: author: alibaba homepage: https://github.com/alibaba/open-code-review version: "1.0.0" --- # Open Code Review This Codex plugin skill intentionally mirrors the canonical skill at `skills/open-code-review/SKILL.md`. Keep both files synchronized when updating OCR agent instructions; a symlink is avoided because plugin installs may only materialize the plugin subtree. A skill for invoking [open-code-review](https://github.com/alibaba/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 **Do not pre-check whether `ocr` is installed** — skip probes like `command -v ocr` or `ocr --version`. Assume the CLI is available and run the review directly; that saves a tool call on the common path. Only if the review fails with `command not found` should you install it per Troubleshooting. Run the OCR command with appropriate flags. **Always pass business context via `--background`** when available: ```bash ocr review --audience agent --background "business context here" [user-args] ``` **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 - **Output file**: use `--output <path>` to write the full result to a file instead of stdout. If the command fails with `unknown flag: --output`, do not continue the review with plain stdout. Ask the user whether to upgrade (`npm i -g @alibaba-group/open-code-review@latest`) and wait for the answer before proceeding. After the user confirms and the upgrade succeeds, rerun with `--output`. - **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) | `ocrRead the full source on GitHub (opens external page)