Token导航 LogoToken导航TokenDH.com
研究检索敏感数据github未标认证来源可访问许可证需确认审计提醒

wrangler-coder牧马人编码器

Agent Skill

wrangler-coder 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。

总安装

723

周安装

34

GitHub Stars

37

下载量

280
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:wrangler-coder(牧马人编码器)
来源仓库:https://github.com/majesticlabs-dev/majestic-marketplace
仓库路径:skills/wrangler-coder
安装命令:
npx skills add https://github.com/majesticlabs-dev/majestic-marketplace --skill wrangler-coder
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/majesticlabs-dev/majestic-marketplace --skill wrangler-coder

简介

该技能提供 wrangler 编码相关的信息检索与筛选功能。

  • 适用于 Codex、Claude、Cursor、Gemini CLI 中基于关键词的任务匹配。
  • 支持快速定位候选结果并过滤无关内容。wrangler-coder 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 通过 GitHub 仓库安装,注意权限与维护状态确认。
  • 建议查阅原始 README 了解具体应用场景与限制。

SKILL.md

Wrangler Coder

Wrangler is Cloudflare's official CLI for Workers, Pages, D1, R2, KV, Queues, and AI.

Installation

# npm
npm install -g wrangler

# pnpm
pnpm add -g wrangler

# Verify installation
wrangler --version

Authentication

# Interactive login (opens browser)
wrangler login

# Check authentication status
wrangler whoami

# Logout
wrangler logout

Environment Variables:

# API Token (preferred for CI/CD)
export CLOUDFLARE_API_TOKEN="your-api-token"

# Or with 1Password
CLOUDFLARE_API_TOKEN=op://Infrastructure/Cloudflare/wrangler_token

# Account ID (optional, can be in wrangler.toml)
export CLOUDFLARE_ACCOUNT_ID="your-account-id"

Project Initialization

# Create new Worker project
wrangler init my-worker

# Create from template
wrangler init my-worker --template cloudflare/worker-template

# Initialize in existing directory
wrangler init

wrangler.toml Configuration

Basic Worker

name = "my-worker"
main = "src/index.ts"
compatibility_date = "2024-12-01"

# Account ID (can also use CLOUDFLARE_ACCOUNT_ID env var)
account_id = "your-account-id"

# Worker settings
workers_dev = true  # Enable *.workers.dev subdomain

Worker with Routes

name = "api-worker"
main = "src/index.ts"
compatibility_date = "2024-12-01"
account_id = "your-account-id"

# Custom domain routes
routes = [
  { pattern = "api.example.com/*", zone_name = "example.com" },
  { pattern = "example.com/api/*", zone_name = "example.com" }
]

Multi-Environment Configuration

name = "my-worker"
main = "src/index.ts"
compatibility_date = "2024-12-01"
account_id = "your-account-id"

# Development (default)
workers_dev = true

# Staging environment
[env.staging]
name = "my-worker-staging"
routes = [
  { pattern = "staging-api.example.com/*", zone_name = "example.com" }
]
vars = { ENVIRONMENT = "staging" }

# Production environment
[env.production]
name = "my-worker-production"
routes = [
  { pattern = "api.example.com/*", zone_name = "example.com" }
]
vars = { ENVIRONMENT = "production" }

Cloudflare Products

ProductResource
KV Namespacesreferences/kv-namespaces.md
D1 Database & R2 Storagereferences/d1-r2.md
Queues & Durable Objectsreferences/queues-durable-objects.md
Workers AIreferences/workers-ai.md
Cloudflare Pagesreferences/pages.md

Secrets Management

# Add secret
wrangler secret put API_KEY
# (prompts for value)

# Add secret for specific environment
wrangler secret put API_KEY --env production

# List secrets
wrangler secret list

# Delete secret
wrangler secret delete API_KEY

# Bulk secrets from .dev.vars file (local dev only)
# Create .dev.vars file:
# API_KEY=xxx
# DB_PASSWORD=yyy
export interface Env {
  API_KEY: string;
  DB_PASSWORD: string;
}

export default {
  async fetch(request: Request, env: Env): Promise<Response> {
    // Access secrets from env
    const apiKey = env.API_KEY;
    return new Response(`Key length: ${apiKey.length}`);
  }
};

Development Workflow

Local Development

# Start local dev server
wrangler dev

# With specific environment
wrangler dev --env staging

# Custom port
wrangler dev --port 8787

# Remote mode (uses Cloudflare's network)
wrangler dev --remote

# Local mode with persistent storage
wrangler dev --persist-to ./data

Testing

# Run tests with vitest (recommended)
npm install -D vitest @cloudflare/vitest-pool-workers

# vitest.config.ts
# import { defineWorkersConfig } from '@cloudflare/vitest-pool-workers/config';
# export default defineWorkersConfig({
#   test: { poolOptions: { workers: { wrangler: { configPath: './wrangler.toml' } } } }
# });

Deployment

# Deploy to workers.dev
wrangler deploy

# Deploy to specific environment
wrangler deploy --env production

# Dry run (show what would be deployed)
wrangler deploy --dry-run

# Deploy with custom name
wrangler deploy --name my-custom-worker

Logs and Debugging

# Tail logs (real-time)
wrangler tail

# Tail specific environment
wrangler tail --env production

# Filter logs
wrangler tail --status error
wrangler tail --search "user-id-123"
wrangler tail --ip 1.2.3.4

# View deployment versions
wrangler versions list

# Rollback to previous version
wrangler rollback

Complete Worker Example

See references/worker-example.md for a production-ready Worker with D1, KV, R2 bindings, multi-environment config, and CORS handling.

Best Practices

  • Pin compatibility_date - Ensures reproducible behavior across deployments
  • Use environments - Separate staging/production configs in same file
  • Secrets via CLI - Never commit secrets, use wrangler secret put
  • Local persistence - Use --persist-to for consistent local dev state
  • Tail logs in production - Debug issues with wrangler tail --status error
  • Version control wrangler.toml - Track configuration changes
  • Use.dev.vars for local secrets - Add to.gitignore
  • Batch D1 operations - Reduce latency with env.DB.batch()
  • Cache strategically - Use KV for frequently accessed data
  • Handle errors gracefully - Return proper HTTP status codes

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

37.91%
按下载量换算106

Claude

28.25%
按下载量换算79

Cursor

19.37%
按下载量换算54

Gemini CLI

9%
按下载量换算25

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

继续浏览同类 Skills