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open-code-review

alibaba · Разработка

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 au

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Платформи: Не са посочениНиво: Не е посоченоВ индекса: 20.09.2026 г.Обновен в GitHub: 19.09.2026 г.

Теми: agent · agent-skills · code-review · code-review-assistant · harness · repository-level-context

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GitHub хранилище
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40 069
Лиценз
Apache-2.0
Последна проверка на записа
20.09.2026 г.

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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

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:

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:

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