Agent Skillsalibaba/open-code-review › open-code-review-delegate

open-code-review-delegate

GitHub

提供AI代码审查委派模式,利用OCR工具进行文件筛选和规则解析,由宿主Agent执行实际审查。适用于需结合确定性与智能分析的代码审查场景。

plugins/open-code-review/skills/open-code-review-delegate/SKILL.md alibaba/open-code-review

触发场景

需要进行代码审查 使用OCR工具辅助审查

安装

npx skills add alibaba/open-code-review --skill open-code-review-delegate -g -y
更多选项

非标准路径

npx skills add https://github.com/alibaba/open-code-review/tree/main/plugins/open-code-review/skills/open-code-review-delegate -g -y

不安装直接使用

npx skills use alibaba/open-code-review@open-code-review-delegate

指定 Agent (Claude Code)

npx skills add alibaba/open-code-review --skill open-code-review-delegate -a claude-code -g -y

安装 repo 全部 skill

npx skills add alibaba/open-code-review --all -g -y

预览 repo 内 skill

npx skills add alibaba/open-code-review --list

SKILL.md

Frontmatter
{
    "name": "open-code-review-delegate",
    "license": "Apache-2.0",
    "metadata": {
        "author": "alibaba",
        "version": "1.0.0",
        "homepage": "https:\/\/github.com\/alibaba\/open-code-review"
    },
    "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.\n",
    "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.\n"
}

Open Code Review — Delegation Mode

This Codex plugin skill intentionally mirrors the canonical skill at skills/open-code-review-delegate/SKILL.md. Keep both files synchronized when updating OCR delegation instructions; a symlink is avoided because plugin installs may only materialize the plugin subtree.

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 [--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 <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

For each reviewable file:

  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

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

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

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 mattersocr delegate operates on the Git repo at the current directory. Use --repo /path to override.
  • Untracked files in workspace modepreview 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.

版本历史

  • 1c8f930 当前 2026-07-23 06:15

同 Skill 集合

plugins/open-code-review/skills/open-code-review/SKILL.md
skills/open-code-review-delegate/SKILL.md
skills/open-code-review/SKILL.md

元信息

文件数
0
版本
85e8639
Hash
ead2ddb1
收录时间
2026-07-23 06:15

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