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Agent Skill · 研究检索

pr-review(公关审查)

pr-review 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

pr-review 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 50,189。

总安装 624周安装 26GitHub Stars 128下载 208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:pr-review(公关审查)
来源仓库:https://github.com/dynatrace-oss/dtctl
仓库路径:skills/pr-review
安装命令:
npx skills add https://github.com/dynatrace-oss/dtctl --skill pr-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/dynatrace-oss/dtctl --skill pr-review

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

PR 质量审查工具对 Pull Request 进行多维度生产就绪性评估与风险识别。覆盖代码质量、测试覆盖、文档完整性与安全合规七个核心检查项。输出带文件路径和行号的实质性反馈,而非笼统评价,便于快速定位问题。依赖 git diff 和本地仓库状态,需确保当前分支与基线正确关联后再执行分析。

pr-review 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/pr-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/dynatrace-oss/dtctl --skill pr-review;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

    它需要需要联网,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

pr-review 怎么安装?

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

pr-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。

pr-review 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

pr-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。

pr-review 用的人多吗?

公开数据是累计安装 624 次,近一周安装 26 次,下载 208 次,GitHub 128 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。

pr-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

  • 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。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 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。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
pr-review

公关审查 · 本页

624128需要联网未明确有提醒

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

PR Quality Review

Perform a comprehensive quality review of a pull request or feature branch. This skill covers production readiness, code quality, UX, documentation, tests, and safety.

The review is structured as a checklist across seven dimensions. For each dimension, investigate the actual code and report specific findings -- not just "looks good" but concrete observations with file paths and line numbers.

Getting Started

First, understand the scope of the change:

# What branch are we on, what's the base?
git branch --show-current
git log main..HEAD --oneline

# What files changed?
git diff main...HEAD --stat

# Full diff for review
git diff main...HEAD

If reviewing a remote PR, fetch it first:

gh pr view <number> --json title,body,files
gh pr diff <number>

Read the PR description and all commits to understand the intent before diving into code.

Review Dimensions

Work through each dimension below. For each one, report a status:

  • Pass -- meets the bar, no issues
  • Needs work -- specific issues found (list them)
  • N/A -- not applicable to this change

1. Production Readiness

Does this code behave correctly and handle failure gracefully?

  • Error handling: Are all errors checked? Are they wrapped with context (fmt.Errorf("context: %w", err))? Do they surface actionable messages to users?
  • Edge cases: Empty inputs, nil values, missing config, network failures, API rate limits, large datasets, pagination boundaries
  • Safety checks: All mutating commands (create, edit, apply, delete, update) must include safety checks after LoadConfig() and before client operations. Pattern: checker, err:= NewSafetyChecker(cfg) if err:= checker.CheckError(safety.OperationXXX, safety.OwnershipUnknown); err!= nil {return err} Verify correct operation type. Skip only in dry-run paths.
  • No stdout in library code: pkg/ must return data, not print. Only cmd/ handles output.
  • No hardcoded secrets or customer data: No real names, env IDs, tokens, or emails in code or tests. Use @example.invalid for emails (RFC 2606).

2. Code Quality

Is the code clean, idiomatic, and maintainable?

  • Go idioms: Follows Effective Go and Go Code Review Comments
  • Naming: Descriptive names, Go conventions (camelCase unexported, PascalCase exported), -er suffix for interfaces
  • File size: Files should be under 500 lines. Large files should be split.
  • Imports: Standard library first, then third-party, then internal (github.com/dynatrace-oss/dtctl)
  • Duplication: Look for copy-pasted code that should be extracted into helpers
  • Comments: Exported functions/types documented. Comments explain "why" not "what".
  • Consistent patterns: New code should follow existing patterns in the codebase. Check similar resources in pkg/resources/ for reference implementations.

Run the linter to catch issues the eye might miss:

make lint-strict

3. User Experience

Does this feel right from the user's perspective?

  • Command naming: Follows the dtctl <verb> <resource> pattern. No custom query flags -- use DQL passthrough.
  • Output formatting: Table output is readable, columns make sense, no misalignment. JSON/YAML output is clean.
  • Error messages: Clear, actionable, suggest next steps. In agent mode (-A), errors are structured JSON with machine-readable codes.
  • Interactive behavior: Name resolution, disambiguation prompts work. --plain disables interactive behavior.
  • Help text: Command has a Short description, Long description, and Example field. Parent verb commands have examples.
  • Aliases: Resource has sensible aliases (e.g., wf for workflow, dash for dashboard).
  • Agent mode: Commands support --agent envelope with contextual suggestions. Test with -A -o json.
  • Color control: Respects NO_COLOR, FORCE_COLOR, --plain, and TTY detection.

Try running the actual commands to see how they feel:

# Does the help text look good?
dtctl <command> --help

# Does table output look right?
dtctl <command> --plain

# Does agent mode work?
dtctl <command> -A

4. Test Coverage

Are the changes well-tested?

  • Unit tests: New functions have tests. Table-driven tests preferred.
  • Coverage targets: 70% minimum overall, 80% for new packages, 90% for critical packages (pkg/client, pkg/config).
  • Edge case tests: Not just happy paths -- test error conditions, empty inputs, boundary values.
  • Mock server guards: Paginated mock servers must reject invalid parameter combinations (e.g., page-size + page-key). Settings API mocks must also reject schemaIds/scopes with nextPageKey.
  • Golden tests: If output formatting changed or a new resource was added, golden files must be updated. Check: go test./pkg/output/ -run TestGolden Golden tests use real production structs from pkg/resources/* -- never test-only duplicates.
  • E2E tests: Integration scenarios in test/e2e/ for new resources or complex workflows.
# Run full suite
go test ./...

# Check coverage
make test-coverage

5. Documentation

Is the change properly documented for users and contributors?

Always required:

  • CHANGELOG.md: Entry under [Unreleased] following Keep-a-Changelog format. Bold feature name with em dash and description.

Required for new features:

  • README.md: Updated if the feature is user-facing and significant (new resource type, new command category)
  • docs/QUICK_START.md: Usage examples for major new features
  • docs/dev/IMPLEMENTATION_STATUS.md: Feature matrix rows updated
  • docs/dev/API_DESIGN.md: Design patterns documented if introducing new conventions
  • docs/TOKEN_SCOPES.md: New scopes documented if the feature requires additional API permissions

Required for new resources:

  • Resource-specific doc page in docs/ or docs/site/_docs/
  • Command reference updated in docs/site/_docs/command-reference.md

Required for new AI agent support:

  • README.md, CHANGELOG.md, docs/QUICK_START.md, docs/dev/API_DESIGN.md, docs/dev/IMPLEMENTATION_STATUS.md (all five)

6. GitHub Pages

If the change adds a new user-facing feature, is the documentation site updated?

The site lives in docs/site/ and deploys via GitHub Actions on pushes to main that touch docs/site/**.

Check:

  • New doc page: Does the feature need a page in docs/site/_docs/? Use YAML frontmatter with title, layout: docs.
  • Navigation: Is the new page added to docs/site/_includes/docs-nav.html in the correct section (Getting Started / Resources / Reference)?
  • Landing page: Does docs/site/index.md need updating? (e.g., new resource in the feature table, new capability mentioned)
  • Existing pages: Are related pages updated to mention the new feature? (e.g., a new output format should appear on the output-formats page)
  • Links: All links work, relative paths are correct, no broken references.

7. PR Description

Is the PR itself well-described?

  • Title: Clear, follows conventional commit style (feat:..., fix:...)
  • Summary: Explains what changed and why (not just what files were touched)
  • Related issues: References issues with Closes #NNN or Fixes #NNN
  • Breaking changes: Called out explicitly if any
  • Testing section: Describes how the change was tested
  • UX examples: Before/after CLI output for user-facing changes

Review Output

After completing the review, provide a summary in this format:

## PR Review: <title>

| Dimension | Status | Notes |
|-----------|--------|-------|
| Production readiness | Pass/Needs work | ... |
| Code quality | Pass/Needs work | ... |
| User experience | Pass/Needs work | ... |
| Test coverage | Pass/Needs work | ... |
| Documentation | Pass/Needs work | ... |
| GitHub Pages | Pass/Needs work/N/A | ... |
| PR description | Pass/Needs work | ... |

### Issues Found
1. **[Dimension]** file:line -- description of issue
2. ...

### Suggestions (non-blocking)
1. ...

### Verdict
Ready to merge / Needs revisions (list blockers)

Be direct and specific. Reference exact file paths and line numbers. Distinguish between blocking issues (must fix) and suggestions (nice to have). Don't pad the review with praise -- focus on what needs attention.

平台分布

Codex

38.65%
按下载量换算80

Claude

27.54%
按下载量换算57

Cursor

20.78%
按下载量换算43

Gemini CLI

10.51%
按下载量换算22

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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