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/open-code-review-delegate

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

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alibaba-open-code-review
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Install
$ npx -y skills add alibaba/open-code-review --skill open-code-review-delegate --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/open-code-review-delegate

Context 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

SKILL.md

open-code-review-delegate.SKILL.md
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"

Open Code Review — Delegation Mode

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.

Prerequisites

which ocr || echo "NOT INSTALLED"

If `ocr` is not installed:

npm install -g @alibaba-group/open-code-review

No LLM configuration is needed for delegation mode.

Workflow

Step 1: Preview — Determine What to Review

ocr delegate preview --format json [--from <ref> --to <ref>] [--commit <hash>] [--exclude <patterns>]

This outputs:

  • **mode** (workspace / range / commit)
  • **from / to / commit / merge_base** — ref metadata for constructing git commands
  • **Reviewable file list** — paths, status, insertions/deletions
  • **Excluded files** — with exclusion reason

**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` |

Step 2: Get Rules for Files

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.

Step 3: Get Diffs

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>

Step 4: Review Each File

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.

Step 5: Format Output

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 |

Step 6: Classify and Report

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:

  • **Critical/High**: Bugs, security issues, data loss risks — always report
  • **Medium**: Performance concerns, error handling gaps, maintainability issues — report with context
  • **Low**: Style nits, minor suggestions — report only if clearly valuable

Discard likely false positives silently.

Step 7: Fix (Optional)

If the user requested "review and fix":

  • Apply High/Critical fixes directly
  • Describe Medium fixes that require manual intervention
  • Skip Low-priority items unless trivial

Sub-commands Reference

| Command | Purpose | |---------|---------| | `ocr delegate preview` | Which files to review + mode/ref metadata | | `ocr delegate rule <path...>` | Review rules grouped by content |

Shared Flags

| 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 | | `-f, --format <text\|json>` | Output format; use `json` for agent integrations |

Gotchas

  • **No LLM needed on OCR side** — delegation mode never calls an LLM. All intelligence comes from the host agent.
  • **Rules are grouped** — Files sharing the same rule are grouped together in the output. You can pass any number of paths per call; for large changes, fetch rules per-batch as you review.
  • **Working directory matters** — `ocr delegate` operates on the Git repo at the current directory. Use `--repo /path` to override.
  • **Untracked files in workspace mode** — `preview` includes untracked files. For these, read the file directly instead of using `git diff`.
  • **Background context** — pass `--background` to `preview` when you have requirement context; it appears in the output for your reference during review.
  • **Coverage is mandatory** — ever
Read more
Ships withalibaba-open-code-review

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.

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Repo: alibaba/open-code-review