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Agent Skill · 研究检索

grepai-search-tips(grepai 搜索提示)

grepai-search-tips 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。

grepai-search-tips 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 11,053。

总安装 11,760周安装 490GitHub Stars 16下载 3,920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:grepai-search-tips(grepai 搜索提示)
来源仓库:https://github.com/yoanbernabeu/grepai-skills
仓库路径:skills/grepai-search-tips
安装命令:
npx skills add https://github.com/yoanbernabeu/grepai-skills --skill grepai-search-tips
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/yoanbernabeu/grepai-skills --skill grepai-search-tips

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。

用于查找、检索和筛选相关信息,适合快速定位候选结果。它根据关键词或任务场景在代码或文档中匹配内容片段。使用方式依赖具体仓库结构和搜索模式,需结合上下文调整参数。

安装命令:npx skills add https://github.com/yoanbernabeu/grepai-skills --skill grepai-search-tips。注意确认权限范围和是否允许读取项目文件,避免误触敏感路径。

来源仓库内路径:skills/grepai-search-tips

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/yoanbernabeu/grepai-skills --skill grepai-sear…;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

grepai-search-tips 怎么安装?

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

grepai-search-tips 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。

grepai-search-tips 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。

grepai-search-tips 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。

grepai-search-tips 用的人多吗?

公开数据是累计安装 11,760 次,近一周安装 490 次,下载 3,920 次,GitHub 16 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。

grepai-search-tips 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。

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
grepai-search-tips

grepai 搜索提示 · 本页

11,76016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

GrepAI Search Tips

This skill provides tips and best practices for writing effective semantic search queries.

When to Use This Skill

  • Improving search result quality
  • Learning semantic search techniques
  • Understanding how to phrase queries
  • Troubleshooting poor search results

Semantic Search Mindset

Think differently from text search:

Text Search (grep)Semantic Search (GrepAI)
Search for exact textSearch for meaning/intent
"getUserById""retrieve user from database by ID"
Literal matchConceptual match

Query Writing Principles

1. Describe Intent, Not Implementation

❌ Bad: getUserById ✅ Good: fetch user record from database using ID

❌ Bad: handleError ✅ Good: error handling and response to client

❌ Bad: validateInput ✅ Good: check if user input is valid and safe

2. Use Descriptive Language

❌ Bad: auth ✅ Good: user authentication and authorization

❌ Bad: db ✅ Good: database connection and queries

❌ Bad: config ✅ Good: application configuration loading

3. Be Specific About Context

❌ Bad: validation ✅ Good: validate email address format

❌ Bad: parse ✅ Good: parse JSON request body

❌ Bad: send ✅ Good: send email notification to user

4. Use 3-7 Words

LengthExampleQuality
Too short"auth"⚠️ Vague
Good"user authentication middleware"✅ Specific
Too long"the code that handles user authentication and validates JWT tokens in the middleware layer"⚠️ Verbose

5. Use English

Embedding models are trained primarily on English:

❌ authentification utilisateur (French) ✅ user authentication

Even if your code comments are in another language, English queries work best.

Query Patterns

Finding Code by Behavior

grepai search "validate user credentials before login"
grepai search "send notification when order is placed"
grepai search "calculate total price with discounts"
grepai search "retry failed HTTP requests"

Finding Code by Purpose

grepai search "middleware that checks authentication"
grepai search "function that formats dates"
grepai search "service that sends emails"
grepai search "handler for payment processing"

Finding Error Handling

grepai search "handle errors from API calls"
grepai search "catch and log exceptions"
grepai search "error response to client"
grepai search "validation error messages"

Finding Data Operations

grepai search "save user to database"
grepai search "query products by category"
grepai search "cache frequently accessed data"
grepai search "transform data before storage"

Finding Configuration

grepai search "load configuration from environment"
grepai search "database connection settings"
grepai search "API keys and secrets management"
grepai search "feature flags and toggles"

Finding Security Code

grepai search "password hashing and verification"
grepai search "input sanitization to prevent injection"
grepai search "rate limiting for API endpoints"
grepai search "CORS configuration"

Iterative Refinement

If results aren't good, iterate:

Start Broad

grepai search "authentication"
# Results too varied

Add Context

grepai search "JWT authentication"
# Better, but still broad

Be Specific

grepai search "JWT token validation middleware"
# Precise results

Using Synonyms

Semantic search understands synonyms. Try different phrasings:

# These may return similar results:
grepai search "user authentication"
grepai search "user login verification"
grepai search "credential validation"
grepai search "identity verification"

Domain-Specific Terms

Use your domain vocabulary:

# E-commerce
grepai search "shopping cart checkout process"
grepai search "inventory stock management"

# Finance
grepai search "transaction processing"
grepai search "payment reconciliation"

# Healthcare
grepai search "patient record retrieval"
grepai search "appointment scheduling"

Question-Style Queries

Natural questions work well:

grepai search "how are users authenticated"
grepai search "where is the database connection configured"
grepai search "what happens when a request fails"
grepai search "how are errors logged"

Avoiding Common Mistakes

❌ Don't Use Exact Function Names

If you know the exact name, use grep:

grep -r "getUserById" .  # Text search

GrepAI is for when you don't know the exact name:

grepai search "retrieve user from database"  # Semantic search

❌ Don't Be Too Abstract

# Too abstract
grepai search "business logic"

# More concrete
grepai search "calculate order total with tax"

❌ Don't Use Code Syntax

# Don't do this
grepai search "function() { return }"

# Do this
grepai search "function that returns early"

❌ Don't Over-Specify

# Over-specified (mentions irrelevant details)
grepai search "async function in TypeScript file that uses axios to fetch"

# Better
grepai search "fetch data from external API"

Interpreting Results

High Scores (0.85+)

Strong match. The code likely does what you described.

Medium Scores (0.70-0.84)

Related code. May be what you want, or adjacent functionality.

Low Scores (0.60-0.69)

Loosely related. Consider refining your query.

Very Low Scores (<0.60)

Weak match. The concept may not exist in the codebase, or query needs rework.

When GrepAI Doesn't Find Results

  1. Check the index: grepai status
  2. Verify files are indexed: Not in ignore patterns?
  3. Try simpler query: Remove specificity
  4. Try different words: Use synonyms
  5. Check if code exists: Maybe it doesn't yet!

Quick Reference Card

SituationQuery Style
Know the behavior"validates email format"
Know the domain"payment processing flow"
Exploring"how errors are handled"
Finding entry points"main application startup"
Finding dependencies"where database is connected"

Output Format

Tips summary:

📝 GrepAI Search Tips

✅ DO:
- Describe intent, not implementation
- Use 3-7 descriptive words
- Use English queries
- Iterate and refine

❌ DON'T:
- Use exact function names (use grep)
- Write too short queries ("auth")
- Write too long queries
- Use code syntax in queries

Example transformations:
  "auth"            → "user authentication and login"
  "getUserById"     → "fetch user by ID from database"
  "handleError"     → "error handling and logging"

平台分布

Codex

33.3%
按下载量换算1,305

Claude

30.4%
按下载量换算1,192

Cursor

18.29%
按下载量换算717

Gemini CLI

9.55%
按下载量换算374

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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