code-review

A Chinese-language code-review rule set. It defines a review process that first understands the change, then examines the full diff for architecture, logic, performance, security, and crash risks.

In plain words
What is it for?
It is for reviewing pull requests or merge requests, understanding their purpose and scope, checking implementation details, removing duplicate findings, and grouping issues by priority.
Why use it?
It helps reviewers focus on confirmed problems in the context of the whole change and avoid warnings that are not supported by the code.

Cursor rule for Cursor

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add rules/oldjii/code-review-mcp/code-review
Clone the repo
git clone --depth 1 https://github.com/OldJii/code-review-mcp

Made for: Cursor.

Per session 7 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,937 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00007 $0.01937
Opus 5 $0.00003 $0.00968
Sonnet 5 $0.00001 $0.00387
Haiku 4.5 $0.00001 $0.00194

Measured yesterday against content hash bbb8ddaef385, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

code-review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.cursor/rules/code-review.mdc · 269 lines

How it starts

The opening of the file, as written. The whole thing — 269 lines — stays where its author put it; the contents beside it link to each section on GitHub.

代码审查规范

根据用户输入语言自动选择规范版本。中文输入使用本文件,英文输入使用 code-review-en.mdc。

核心原则

理解优先

  • 先理解 PR/MR 整体目的,再分析 diff
  • 深度分析(架构/逻辑/性能/安全)优先于风格检查
  • 只提"确认的问题",不提"可能的问题"
  • 结合上下文分析,不孤立判断

审查流程

步骤 1:确定 PR 类型

主仓库 PR -> 从描述中提取子模块 PR
子模块 PR -> 直接审查

步骤 2:获取完整变更

changes = get_pr_changes(provider, repo, pr_id)
for change in changes["changes"]:
    full_diff = change["diff"]
    analyze(full_diff)

必须:遍历所有文件的完整 diff 禁止diff[:100]changes[:10]

步骤 3:理解 PR 上下文(优先执行)

在查看任何 diff 之前,回答:

  1. 目的(从标题+描述):新功能/Bug修复/重构?
  2. 范围(从变更列表):新增/删除/修改了哪些文件?
  3. 架构:类关系、数据流、设计模式?
  4. 预期实现:应该实现什么?

步骤 4:深度代码分析

4.1 理解 diff 意图
  • 这段 diff 在整个 PR 中的作用?
  • 是否符合 PR 目的?
4.2 架构审查
  • 职责是否单一?
  • 是否有重复代码?
  • 抽象层次是否清晰?
  • 设计在整体架构中是否合理?
4.3 逻辑审查(结合上下文)
  • 边界条件:调用方是否已确保非空?
  • 异常场景:业务流程中是否真的会发生?
  • 状态转换:在完整状态机中是否完整?

避免误报:调用方已校验 -> 不提

4.4 性能审查(真实场景)
  • 数据量多大?是否真的会成为瓶颈?
  • 循环次数?是否真的影响性能?
  • 耗时多久?是否真的会卡顿?

避免误报:数据量 <= 5 -> 不提 / 耗时 < 1ms -> 不提

4.5 安全与崩溃风险
  • 确认真实的 NPE/越界/资源泄漏风险
  • 考虑完整调用链和业务流程

避免误报:上文已校验 -> 不提

步骤 5:去重

# 1. 去重:同一文件相同问题合并
seen = {(file, issue_type): comment}
merge_line_numbers(seen[key], comment)

# 2. 按优先级分组
p0, p1, p2 = group_by_priority(seen.values())

# 3. 动态调整
if len(p0) > 10:
    p1 = p1[:len(p1)//2]
    p2 = p2[:len(p2)//3]

final_comments = p0 + p1 + p2

去重规则

  • 同一文件相同问题 -> 合并并列出所有行号
  • 不同文件相同问题 -> 每个文件 1 条
  • 方法过长 -> 每个文件最多 2 条

步骤 6:展示评论供确认

提交前必须展示所有评论供用户确认

格式:

## 审查结果预览

### 行内评论 (N 条)

1. [P0/P1/P2] 文件名:行号
   评论预览...

2. [P0/P1/P2] 文件名:行号
   评论预览...

### 总结评论

[总结预览]

---

等待确认后提交。

步骤 7:确认后提交

重要:使用 line + 1 避免遮挡代码行

for comment in inline_comments:
    comment['line'] = comment['line'] + 1

batch_add_comments(
    provider=provider,
    repo=repo,
    pr_id=pr_id,
    inline_comments=inline_comments,
    pr_comment=summary_comment
)

评论格式

行内评论

数量策略

  • P0:不限
  • P1:P0 > 10 时减少 50%
  • P2:P0 > 10 时减少 70%

Read the full file on GitHub · 269 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday First seen · 269 lines · 7 tokens per session scan A bbb8ddaef385

Subscribe to this mod's changes

code-review is a cursor rule published in the GitHub repository OldJii/code-review-mcp (4 stars, last pushed 6d ago), licensed MIT. It adds 7 tokens to every session and 1,937 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.