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Agent Skill · 研究检索

cursor-prod-checklist(Cursor prod checklist 搜索)

cursor-prod-checklist 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。

cursor-prod-checklist 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,权限为接触敏感数据;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 47,280。

总安装 742周安装 30GitHub Stars 2,099下载 233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:cursor-prod-checklist(Cursor prod checklist 搜索)
来源仓库:https://github.com/jeremylongshore/claude-code-plugins-plus-skills
仓库路径:skills/cursor-prod-checklist
安装命令:
npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill cursor-prod-checklist
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/jeremylongshore/claude-code-plugins-plus-skills --skill cursor-prod-checklist

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。

该技能提供 Cursor IDE 生产环境配置清单,涵盖安全加固、项目规则和索引优化。适用于团队标准化部署、确保一致性和满足审计要求的场景。包含预飞 checklist:成员认证、SSO 配置、Privacy Mode 启用和核心规则提交。建议将 .cursor/rules/ 目录纳入版本控制,实现跨项目策略统一管理。

cursor-prod-checklist 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/cursor-prod-checklist

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/jeremylongshore/claude-code-plugins-plus-skill…;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

cursor-prod-checklist 怎么安装?

在终端执行 npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

cursor-prod-checklist 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。

cursor-prod-checklist 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。

cursor-prod-checklist 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。

cursor-prod-checklist 用的人多吗?

公开数据是累计安装 742 次,近一周安装 30 次,下载 233 次,GitHub 2,099 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。

cursor-prod-checklist 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 来源仓库有 2,099 星,维护活跃度相对可查。

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

  • 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。

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
cursor-prod-checklist

Cursor prod checklist 搜索 · 本页

7422,099接触敏感数据未明确通过

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

Cursor Production Checklist

Comprehensive checklist for configuring Cursor IDE for production use. Covers security hardening, project rules, indexing optimization, privacy settings, and team standardization.

Pre-Flight Checklist

Authentication & Licensing

[ ] All team members authenticated with correct plan (Pro/Business/Enterprise)
[ ] SSO configured (Business/Enterprise) -- see cursor-sso-integration skill
[ ] Privacy Mode enabled (enforced at team level for Business+)
[ ] Verify plan at cursor.com/settings

Project Rules

[ ] .cursor/rules/ directory created and committed to git
[ ] Core project rule with alwaysApply: true (stack, conventions, standards)
[ ] Language-specific rules with glob patterns (*.ts, *.py, etc.)
[ ] Security rule: "Never suggest hardcoded credentials or secrets"
[ ] No sensitive data (API keys, passwords) in any rule file

Minimum viable rule set:

# .cursor/rules/project.mdc
---
description: "Core project context"
globs: ""
alwaysApply: true
---
# Project: [Name]
Stack: [framework, language, database, etc.]
Package manager: [npm/pnpm/yarn]

## Conventions
- [your team conventions here]
- Never commit console.log statements
- All functions require TypeScript return types
- Use Conventional Commits format
# .cursor/rules/security.mdc
---
description: "Security constraints for AI-generated code"
globs: ""
alwaysApply: true
---
# Security Rules
- NEVER hardcode API keys, passwords, or secrets in code
- NEVER disable HTTPS/TLS verification
- ALWAYS use parameterized queries (no string concatenation for SQL)
- ALWAYS validate and sanitize user input
- Use environment variables for all configuration values

Indexing Configuration

[ ] .cursorignore created at project root
[ ] Excluded: node_modules/, dist/, build/, .next/, vendor/
[ ] Excluded: *.min.js, *.map, *.lock, *.sqlite
[ ] Excluded: .env*, secrets/, credentials/
[ ] .cursorindexingignore created for large-but-useful files
[ ] Verified indexing completes (status bar shows "Indexed")
[ ] Tested @Codebase queries return relevant results

Privacy & Security

[ ] Privacy Mode: ON (Cursor Settings > General > Privacy Mode)
[ ] Verified: cursor.com/settings shows "Privacy Mode: Enabled"
[ ] .cursorignore covers all files with PII or regulated data
[ ] API keys (if BYOK) stored in Cursor settings, NOT in project files
[ ] Team members briefed: AI output is a draft, not production-ready code

AI Configuration

[ ] Default model set (Cursor Settings > Models)
[ ] BYOK configured if required by team (see cursor-api-key-management skill)
[ ] Auto mode evaluated vs fixed model selection
[ ] Tab completion enabled and tested
[ ] Conflicting extensions disabled (Copilot, TabNine, Codeium)

Version Control Integration

[ ] .cursor/rules/ committed to git (team shares rules)
[ ] .cursorignore committed to git
[ ] .cursorindexingignore committed to git
[ ] AI-generated commit messages reviewed before pushing
[ ] Pre-commit hooks run (linting, tests) regardless of AI-generated code

Team Onboarding Template

# Cursor IDE Onboarding

## Setup (15 minutes)
1. Download Cursor from cursor.com/download
2. Sign in with your @company.com email (SSO will redirect)
3. Open our project repository in Cursor
4. Wait for indexing to complete (status bar)

## Daily Workflow
- Cmd+L (Chat): Ask questions, plan features
- Cmd+K (Inline Edit): Fix/refactor selected code
- Cmd+I (Composer): Multi-file changes
- Tab: Accept AI completions while typing

## Our Rules
- Project rules are in .cursor/rules/ -- read them
- Always review AI-generated code before committing
- Start new chats for new tasks (don't continue stale conversations)
- Use @Files for specific context, @Codebase for discovery

## Prohibited
- Do NOT paste credentials into Chat/Composer
- Do NOT disable Privacy Mode
- Do NOT commit AI-generated code without review and testing

Maintenance Schedule

TaskFrequencyHow
Review and update project rulesMonthlyAudit .cursor/rules/ for stale info
Verify Privacy Mode enforcementQuarterlyAdmin dashboard or Cursor Settings
Rotate API keys (BYOK)QuarterlyProvider console + Cursor Settings
Update.cursorignoreWhen project structure changesAdd new build/data directories
Review extension listMonthlyDisable unused, check for conflicts
Cursor version updateAs releasedHelp > Check for Updates
Team onboarding doc updateWhen workflow changesKeep setup steps current

Production Anti-Patterns

Anti-PatternRiskFix
No.cursor/rules/AI generates inconsistent codeCreate rules with team conventions
No.cursorignoreSecrets indexed, large files slow indexingAdd comprehensive ignore patterns
Privacy Mode offCode stored by model providersEnable at team level (admin dashboard)
One giant conversationContext overflow, bad suggestionsStart new chat per task
Blind "Apply All"Bugs, wrong patterns committedReview every diff before applying
No pre-commit hooksAI-generated bugs reach main branchEnforce lint + test hooks

Enterprise Considerations

  • Compliance documentation: Maintain records of Cursor configuration for SOC 2 / ISO 27001 audits
  • Change management: Treat .cursor/rules/ changes like infrastructure changes -- PR and review
  • Access reviews: Quarterly review of team membership and seat assignments
  • Data classification: Map.cursorignore to your data classification policy

Resources

平台分布

Codex

37.92%
按下载量换算88

Claude

31.64%
按下载量换算74

Cursor

18.44%
按下载量换算43

Gemini CLI

9.2%
按下载量换算21

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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。目前只有一个公开来源,建议同时核对源仓库。

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