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,…
Delegation mode for open-code-review (OCR). Instead of OCR calling an LLM endpoint, this skill instructs the host agent to perform the code review itself, using OCR only for deterministic engineering: file selection and rule resolution. Use when the host agent should drive the
$ npx -y skills add alibaba/open-code-review --skill open-code-review-delegate --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/open-code-review-delegateContext preview
The summary Claude sees to decide when to auto-load this skill.
Delegation mode for open-code-review (OCR). Instead of OCR calling an LLM endpoint, this skill instructs the host agent to perform the code review itself, using OCR only for deterministic engineering: file selection and rule resolution. Use when the host agent should drive the
name: open-code-review-delegate description: > Delegation mode for open-code-review (OCR). Instead of OCR calling an LLM endpoint, this skill instructs the host agent to perform the code review itself, using OCR only for deterministic engineering: file selection and rule resolution. Use when the host agent should drive the review with its own LLM capabilities. license: Apache-2.0 compatibility: > Requires the `ocr` CLI installed (via `npm install -g @alibaba-group/open-code-review` or GitHub release binary). Does NOT require a configured LLM endpoint — delegation mode is LLM-free on the OCR side. metadata: author: alibaba homepage: https://github.com/alibaba/open-code-review version: "1.0.0"
A skill for performing AI code review where OCR provides deterministic engineering (file filtering, rule resolution) and the host agent performs the actual review using its own intelligence and tools.
ocr delegate preview --format json [--from <ref> --to <ref>] [--commit <hash>] [--exclude <patterns>]
This outputs:
**Common invocations:**
| Scenario | Command | |----------|---------| | Workspace changes | `ocr delegate preview` | | Branch comparison | `ocr delegate preview --from main --to feature` | | Single commit | `ocr delegate preview -c abc123` |
ocr delegate rule --format json <path1> <path2> ...
Pass the reviewable file paths from Step 1. Output is grouped by rule content — files sharing the same rule appear under one group, avoiding repetition.
Use git directly based on the mode/ref info from Step 1:
**Range mode** (merge_base provided in preview output):
git diff <merge_base>..<to> -- <path>
**Commit mode**:
git show <commit> -- <path>
**Workspace mode**:
# Tracked files git diff HEAD -- <path> # New untracked files — read directly (entire file is new code) cat <path>
Create a checklist containing every `reviewable_files` entry. For each reviewable file:
Use `(path, status)` as the checklist identity. Workspace mode can report the same path twice when a staged deletion is followed by an untracked recreation.
1. Get its diff (Step 3) 2. Consult its Rule Group (from Step 2) for the review checklist 3. Conduct a thorough review, using appropriate context tools as needed 4. Mark the file `reviewed`, or `skipped` with a concrete reason
For large changes, review in bounded batches grouped by shared rules and diff size. Do not stop after finding the first high-severity issue.
Each comment must follow this structure:
| Field | Type | Required | Description | |-------|------|----------|-------------| | path | string | yes | Relative file path | | content | string | yes | Review comment describing the issue | | start_line | integer | no | Start line in the new file | | end_line | integer | no | End line in the new file | | category | enum | no | bug, security, performance, maintainability, test, style, documentation, other | | severity | enum | no | critical, high, medium, low |
Before reporting, verify that every previewed file is accounted for. Include `total_files`, `reviewed_files`, `skipped_files`, and `coverage_rate` in the summary. A skipped file must include its reason.
Group findings by severity:
Discard likely false positives silently.
If the user requested "review and fix":
| Command | Purpose | |---------|---------| | `ocr delegate preview` | Which files to review + mode/ref metadata | | `ocr delegate rule <path...>` | Review rules grouped by content |
| Flag | Description | |------|-------------| | `--from <ref>` | Source ref for range mode | | `--to <ref>` | Target ref for range mode | | `-c, --commit <hash>` | Single commit mode | | `--repo <path>` | Repository root (default: cwd) | | `--rule <path>` | Custom rule.json path | | `--exclude <patterns>` | Comma-separated exclude patterns | | `-b, --background <text>` | Business context | | `-B, --background-file <path>` | Business context from Markdown file (takes precedence over `-b`) | | `-f, --format <text\|json>` | Output format; use `json` for agent integrations |
`--background-file` has two inde
Fast, efficient, battle-tested at Alibaba's scale. Hybrid architecture code review tool: deterministic pipelines + LLM Agent, precise line-level comments, built-in multi-language ruleset (NPE, thread-safety, XSS, SQL injection), OpenAI & Anthropic compatible.
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,…