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sentry-code-review哨兵代码审查

Agent Skill

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。

总安装

984

周安装

41

GitHub Stars

155

下载量

328
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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-claude
仓库路径:skills/sentry-code-review
安装命令:
npx skills add https://github.com/getsentry/sentry-for-claude --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-claude --skill sentry-code-review

简介

sentry-code-review 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合整理仓库状态与代码变更。

  • 适用于围绕项目协作事项进行信息梳理和代码审查的场景。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装技能模块。
  • 使用前应确认权限范围和维护状态,避免误触联网或文件操作。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

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

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.78%
按下载量换算114

Claude

32.49%
按下载量换算107

Cursor

19.31%
按下载量换算63

Gemini CLI

10.04%
按下载量换算33

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

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 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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