open-code-review MCP 服务器 | PlugMCP

open-code-review

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Developer Tools

1---2name: open-code-review3description: >4---56# skills/open-code-review/SKILL.md

SKILL.mdAgent skill

Transport: File
Status: Listed

SKILL.md

Install

The skill file stays in the publisher's repository.

Paste the copied command in a terminal. It installs this SKILL.md into that agent.

shterminal

1npx skills add alibaba/open-code-review --skill open-code-review -a cursor -y

Paste the copied command in a terminal. It installs this SKILL.md into that agent.

shterminal

1npx skills add alibaba/open-code-review --skill open-code-review -a claude-code -y

Paste the copied command in a terminal. It installs this SKILL.md into that agent.

shterminal

1npx skills add alibaba/open-code-review --skill open-code-review -a codex -y

Paste the copied command in a terminal. It installs this SKILL.md into that agent.

shterminal

1npx skills add alibaba/open-code-review --skill open-code-review -a grok -y

Send the copied message in a Grok Bot chat. The Bot fetches this SKILL.md from GitHub and adds it to the skills all your Bots share.

txtGrok Bot chat

1Install this skill: https://github.com/alibaba/open-code-review/tree/HEAD/skills/open-code-review

Download skill skills/open-code-review/SKILL.md on GitHub

skills/open-code-review/SKILL.mdMarkdown · UTF-8

Skill facts

Agent skill

File: skills/open-code-review/SKILL.md
Publisher: alibaba
Hosting

FAQ

Questions

How do I install open-code-review?

From the publisher

SKILL.md

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

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

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)	`ocr review --preview`

## Code Review Results

**Files reviewed**: N
**Issues found**: X critical, Y high, Z medium

### Critical

- **`path/to/file.java:42`** [bug] — Brief description
  > Recommendation: How to fix

### High

- **`path/to/file.java:26`** [bug] — Brief description
  > Recommendation: How to fix

### Medium

- **`path/to/file.ts:88`** [performance] — Brief description
  > Recommendation: How to fix (if applicable)

{
  "rules": [
    {
      "path": "**/*.java",
      "rule": "All new methods must validate required parameters for null",
      "merge_system_rule": true
    },
    {
      "path": "**/*mapper*.xml",
      "rule": "Check SQL for injection risks and missing closing tags"
    }
  ]
}

ocr rules check src/main/java/com/example/Foo.java

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

ocr config provider

ocr config set llm.url https://api.anthropic.com/v1/messages
ocr config set llm.auth_token <api-key>
ocr config set llm.model claude-opus-4-6
ocr config set llm.use_anthropic true

open-code-review

Install

Skill facts

Questions

How do I install open-code-review?

Where does open-code-review live?

Which agents can use open-code-review?

SKILL.md

Open Code Review

Workflow

Step 1: Gather Business Context

Step 2: Run Code Review

Step 3: Report

Step 4: Fix

Output Format

Custom Review Rules

Advanced Review Options

Gotchas

Validation

Troubleshooting

References