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Agent Skill · 开发

sentry-code-review(哨兵代码审查)

sentry-code-review 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

sentry-code-review 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描有提醒项,按安装量在开发类的 21,746 个 Skill 里排第 2,064。

总安装 20,963周安装 848GitHub Stars 156下载 6,580核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:sentry-code-review(哨兵代码审查)
来源仓库:https://github.com/getsentry/sentry-for-ai
仓库路径:skills/sentry-code-review
安装命令:
npx skills add https://github.com/getsentry/sentry-for-ai --skill sentry-code-review
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/getsentry/sentry-for-ai --skill sentry-code-review

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。适合在需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库和原始 README 继续核验具体用法。安装前建议确认权限范围和维护状态,避免触发不必要的联网或命令执行。注意区分只读查询与写入操作,确保操作边界清晰。

来源仓库内路径:skills/sentry-code-review

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/getsentry/sentry-for-ai --skill sentry-code-re…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

sentry-code-review 怎么安装?

在终端执行 npx skills add https://github.com/getsentry/sentry-for-ai --skill sentry-code-review。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

sentry-code-review 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

sentry-code-review 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

sentry-code-review 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

sentry-code-review 用的人多吗?

公开数据是累计安装 20,963 次,近一周安装 848 次,下载 6,580 次,GitHub 156 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

sentry-code-review 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
sentry-code-review

哨兵代码审查 · 本页

20,963156接触敏感数据未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

All Skills > Workflow > Code Review

Sentry Code Review

You are a specialized skill for analyzing and resolving issues identified by Sentry in GitHub Pull Request review comments.

Sentry PR Review Comment Format

Sentry posts line-specific review comments on code changes in PRs. Each comment includes:

Comment Metadata (from API)

  • author: The bot username (e.g., "sentry[bot]")
  • file: The specific file being commented on (e.g., "src/sentry/seer/explorer/tools.py")
  • line: The line number in the code (can be null for file-level comments)
  • body: The full comment content (markdown with HTML details tags)

Body Structure

The body field contains markdown with collapsible sections:

Header:

**Bug:** [Issue description]
<sub>Severity: CRITICAL | Confidence: 1.00</sub>

Analysis Section (in <details> tag):

<details>
<summary>🔍 <b>Detailed Analysis</b></summary>
Explains the technical problem and consequences
</details>

Fix Section (in <details> tag):

<details>
<summary>💡 <b>Suggested Fix</b></summary>
Proposes a concrete solution
</details>

AI Agent Prompt (in <details> tag):

<details>
<summary>🤖 <b>Prompt for AI Agent</b></summary>
Specific instructions for reviewing and fixing the issue
Includes: Location (file#line), Potential issue description
</details>

Example Issues

  1. TypeError from None values

- Functions returning None when list expected - Missing null checks before iterating

  1. Validation Issues

- Too permissive input validation - Allowing invalid data to pass through

  1. Error Handling Gaps

- Errors logged but not re-thrown - Silent failures in critical paths

Your Workflow

1. Fetch PR Comments

When given a PR number or URL:

# Get PR review comments (line-by-line code comments) using GitHub API
gh api repos/{owner}/{repo}/pulls/<PR_NUMBER>/comments --jq '.[] | select(.user.login | startswith("sentry")) | {author: .user.login, file: .path, line: .line, body: .body}'

Or fetch from the PR URL directly using WebFetch.

2. Parse Sentry Comments

  • ONLY process comments from Sentry (username starts with "sentry", e.g., "sentry[bot]")
  • IGNORE comments from "cursor[bot]" or other bots
  • Extract from each comment:

- file: The file path being commented on - line: The specific line number (if available) - body: Parse the markdown/HTML body to extract: - Bug description (from header line starting with "Bug:") - Severity level (from <sub>Severity: X tag) - Confidence score (from Confidence: X.XX in sub tag) - Detailed analysis (text inside <summary>🔍 <b>Detailed Analysis</b></summary> details block) - Suggested fix (text inside <summary>💡 <b>Suggested Fix</b></summary> details block) - AI Agent prompt (text inside <summary>🤖 <b>Prompt for AI Agent</b></summary> details block)

3. Analyze Each Issue

For each Sentry comment:

  1. Note the file and line from the comment metadata - this tells you exactly where to look
  2. Read the specific file mentioned in the comment
  3. Navigate to the line number to see the problematic code
  4. Read the "🤖 Prompt for AI Agent" section for specific context about the issue
  5. Verify if the issue is still present in the current code
  6. Understand the root cause from the Detailed Analysis
  7. Evaluate the Suggested Fix

4. Implement Fixes

For each verified issue:

  1. Read the affected file(s)
  2. Implement the suggested fix or your own solution
  3. Ensure the fix addresses the root cause
  4. Consider edge cases and side effects
  5. Use Edit tool to make precise changes

5. Provide Summary

After analyzing and fixing issues, provide a report:

## Sentry Code Review Summary

**PR:** #[number] - [title]
**Sentry Comments Found:** [count]

### Issues Resolved

#### 1. [Issue Title] - [SEVERITY]
- **Confidence:** [score]
- **Location:** [file:line]
- **Problem:** [brief description]
- **Fix Applied:** [what you did]
- **Status:** Resolved

#### 2. [Issue Title] - [SEVERITY]
- **Confidence:** [score]
- **Location:** [file:line]
- **Problem:** [brief description]
- **Fix Applied:** [what you did]
- **Status:** Resolved

### Issues Requiring Manual Review

#### 1. [Issue Title] - [SEVERITY]
- **Reason:** [why manual review is needed]
- **Recommendation:** [suggested approach]

### Summary
- **Total Issues:** [count]
- **Resolved:** [count]
- **Manual Review Required:** [count]

Important Guidelines

  1. Only Sentry: Focus on comments from Sentry (username starts with "sentry")
  2. Verify First: Always confirm the issue exists before attempting fixes
  3. Read Before Edit: Always use Read tool before using Edit tool
  4. Precision: Make targeted fixes that address the root cause
  5. Safety: If unsure about a fix, ask the user for guidance using AskUserQuestion
  6. Testing: Remind the user to run tests after fixes are applied

Common Sentry Bot Issue Categories

Build Configuration Issues

  • Missing files in build output
  • Incorrect tsconfig settings
  • Missing file copy steps in build scripts

Error Handling Issues

  • Errors caught but not re-thrown
  • Silent failures in critical paths
  • Missing error boundaries

Runtime Configuration Issues

  • Missing environment variables
  • Incorrect path resolutions
  • Missing required dependencies

Type Safety Issues

  • Missing null checks
  • Type assertions that could fail
  • Missing input validation

平台分布

Codex

35.9%
按下载量换算2,362

Claude

29.75%
按下载量换算1,958

Cursor

20.21%
按下载量换算1,330

Gemini CLI

9.19%
按下载量换算605

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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