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grepai-initgrepai 初始化

Agent Skill

grepai-init 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

9,684

周安装

416

GitHub Stars

16

下载量

3,395
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:grepai-init(grepai 初始化)
来源仓库:https://github.com/yoanbernabeu/grepai-skills
仓库路径:skills/grepai-init
安装命令:
npx skills add https://github.com/yoanbernabeu/grepai-skills --skill grepai-init
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-init

简介

用于处理 GitHub 仓库、Issue 和 Pull Request 信息,协助代码协作管理。

  • 它支持分析仓库状态、变更历史和协作事项,辅助开发流程。
  • 使用方式包括查询特定 Issue 或 PR 详情,需明确目标仓库和分支。
  • 安装命令:npx skills add https://github.com/yoanbernabeu/grepai-skills --skill grepai-init。
  • 建议确认 API 权限和仓库访问范围,避免越权请求或频繁调用。

SKILL.md

GrepAI Init

This skill covers the grepai init command and project initialization.

When to Use This Skill

  • Setting up GrepAI in a new project
  • Understanding what grepai init creates
  • Customizing initial configuration
  • Troubleshooting initialization issues

Basic Usage

cd /path/to/your/project
grepai init

What Init Creates

Running grepai init creates the .grepai/ directory with:

.grepai/
├── config.yaml    # Configuration file
├── index.gob      # Vector index (created by watch)
└── symbols.gob    # Symbol index for trace (created by watch)

Default Configuration

The generated config.yaml:

version: 1

embedder:
  provider: ollama
  model: nomic-embed-text
  endpoint: http://localhost:11434

store:
  backend: gob

chunking:
  size: 512
  overlap: 50

watch:
  debounce_ms: 500

trace:
  mode: fast
  enabled_languages:
    - .go
    - .js
    - .ts
    - .jsx
    - .tsx
    - .py
    - .php
    - .c
    - .h
    - .cpp
    - .hpp
    - .cc
    - .cxx
    - .rs
    - .zig
    - .cs
    - .pas
    - .dpr

ignore:
  - .git
  - .grepai
  - node_modules
  - vendor
  - target
  - __pycache__
  - dist
  - build

Understanding Default Settings

Embedder Settings

SettingDefaultPurpose
providerollamaLocal embedding generation
modelnomic-embed-text768-dimension model
endpointhttp://localhost:11434Ollama API URL

Store Settings

SettingDefaultPurpose
backendgobLocal file storage

Chunking Settings

SettingDefaultPurpose
size512Tokens per chunk
overlap50Overlap for context

Watch Settings

SettingDefaultPurpose
debounce_ms500Wait time before re-indexing

Ignore Patterns

Default patterns exclude:

  • Version control: .git
  • GrepAI data: .grepai
  • Dependencies: node_modules, vendor
  • Build outputs: target, dist, build
  • Cache: __pycache__

Customizing After Init

Edit .grepai/config.yaml to customize:

Change Embedding Provider

embedder:
  provider: openai
  model: text-embedding-3-small
  api_key: ${OPENAI_API_KEY}

Change Storage Backend

store:
  backend: postgres
  postgres:
    dsn: postgres://user:pass@localhost:5432/grepai

Add Custom Ignore Patterns

ignore:
  - .git
  - .grepai
  - node_modules
  - "*.min.js"
  - "*.bundle.js"
  - coverage/
  - .nyc_output/

Init in Monorepos

For monorepos, init at the root:

cd /path/to/monorepo
grepai init

Or use workspaces for separate indices:

grepai workspace create my-workspace
grepai workspace add my-workspace /path/to/project1
grepai workspace add my-workspace /path/to/project2

Re-Initialization

If you need to reset:

# Remove existing config
rm -rf .grepai

# Re-initialize
grepai init

Warning: This deletes your index. You'll need to re-run grepai watch.

Verifying Initialization

After init, verify with:

# Check config exists
cat .grepai/config.yaml

# Check status (will show no index yet)
grepai status

Common Issues

Problem: .grepai already exists ✅ Solution: Delete it first or edit existing config:

rm -rf .grepai && grepai init

Problem: Config created but Ollama not running ✅ Solution: Start Ollama before running grepai watch:

ollama serve

Problem: Wrong directory initialized ✅ Solution: Remove .grepai and init in correct directory

Best Practices

  1. Init at project root: Where your main code lives
  2. Add .grepai/ to .gitignore: Index is machine-specific
  3. Customize ignore patterns: Exclude generated/vendored code
  4. Review config after init: Adjust for your stack

Example.gitignore Addition

# GrepAI
.grepai/

Output Format

After successful initialization:

✅ GrepAI Initialized

   Config: .grepai/config.yaml

   Default settings:
   - Embedder: Ollama (nomic-embed-text)
   - Storage: GOB (local file)
   - Chunking: 512 tokens, 50 overlap

   Next steps:
   1. Ensure Ollama is running: ollama serve
   2. Start indexing: grepai watch

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

38.91%
按下载量换算1,321

Claude

29.48%
按下载量换算1,001

Cursor

17.71%
按下载量换算601

Gemini CLI

9.93%
按下载量换算337

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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。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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