Redc-useage — cybersecurity Redc-useage, community, cybersecurity, ide skills, infrastructure, multi-cloud, redteam, terraform, Claude Code, Cursor, Windsurf

v1.0.0

关于此技能

非常适合需要自动化多云基础设施管理的云管理代理,具有Terraform集成。 Multi-cloud red team infrastructure automation. Deploy and manage cloud resources across AWS, Aliyun, Tencent Cloud with Terraform. Includes commands for init, deploy, manage, execute, and cleanup of infrastructure cases.

# 核心主题

wgpsec wgpsec
[137]
[18]
更新于: 3/19/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 8/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Quality floor passed for review
Review Score
8/11
Quality Score
67
Canonical Locale
en
Detected Body Locale
en

非常适合需要自动化多云基础设施管理的云管理代理,具有Terraform集成。 Multi-cloud red team infrastructure automation. Deploy and manage cloud resources across AWS, Aliyun, Tencent Cloud with Terraform. Includes commands for init, deploy, manage, execute, and cleanup of infrastructure cases.

核心价值

赋予代理自动化跨多个云(包括AWS、Aliyun和TencentCloud)基础设施管理的能力,使用Terraform实现无缝自动化和高效的AI驱动工作流,同时集成YAML配置文件和模板管理。

适用 Agent 类型

非常适合需要自动化多云基础设施管理的云管理代理,具有Terraform集成。

赋予的主要能力 · Redc-useage

自动化多个云提供商的基础设施部署
生成Terraform模板以实现一致的基础设施管理
使用Redc-useage的自动化功能调试多云基础设施问题

! 使用限制与门槛

  • 需要Terraform的安装和配置
  • 需要访问云提供商的凭据,例如AWS_ACCESS_KEY_ID和ALICLOUD_ACCESS_KEY
  • 仅限支持的云提供商,包括AWS、Aliyun和TencentCloud

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.

Source Boundary

The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.

实验室 Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

常见问题与安装步骤

以下问题与步骤与页面结构化数据保持一致,便于搜索引擎理解页面内容。

? FAQ

Redc-useage 是什么?

非常适合需要自动化多云基础设施管理的云管理代理,具有Terraform集成。 Multi-cloud red team infrastructure automation. Deploy and manage cloud resources across AWS, Aliyun, Tencent Cloud with Terraform. Includes commands for init, deploy, manage, execute, and cleanup of infrastructure cases.

如何安装 Redc-useage?

运行命令:npx killer-skills add wgpsec/redc/Redc-useage。支持 Cursor、Windsurf、VS Code、Claude Code 等 19+ IDE/Agent。

Redc-useage 适用于哪些场景?

典型场景包括:自动化多个云提供商的基础设施部署、生成Terraform模板以实现一致的基础设施管理、使用Redc-useage的自动化功能调试多云基础设施问题。

Redc-useage 支持哪些 IDE 或 Agent?

该技能兼容 Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer。可使用 Killer-Skills CLI 一条命令通用安装。

Redc-useage 有哪些限制?

需要Terraform的安装和配置;需要访问云提供商的凭据,例如AWS_ACCESS_KEY_ID和ALICLOUD_ACCESS_KEY;仅限支持的云提供商,包括AWS、Aliyun和TencentCloud。

安装步骤

  1. 1. 打开终端

    在你的项目目录中打开终端或命令行。

  2. 2. 执行安装命令

    运行:npx killer-skills add wgpsec/redc/Redc-useage。CLI 会自动识别 IDE 或 AI Agent 并完成配置。

  3. 3. 开始使用技能

    Redc-useage 已启用,可立即在当前项目中调用。

! 参考页模式

此页面仍可作为安装与查阅参考,但 Killer-Skills 不再把它视为主要可索引落地页。请优先阅读上方评审结论,再决定是否继续查看上游仓库说明。

Imported Repository Instructions

The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.

Supporting Evidence

Redc-useage

安装 Redc-useage,这是一款面向AI agent workflows and automation的 AI Agent Skill。支持 Claude Code、Cursor、Windsurf,一键安装。

SKILL.md
Readonly
Imported Repository Instructions
The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.
Supporting Evidence

Redc Skills - AI Operations Guide

Multi-cloud red team infrastructure automation tool built on Terraform.

Quick Reference

Config: ~/redc/config.yaml | Templates: ~/redc/redc-templates/ | Docs: https://github.com/wgpsec/redc

Configuration

yaml
1providers: 2 aws: 3 AWS_ACCESS_KEY_ID: "KEY" 4 AWS_SECRET_ACCESS_KEY: "SECRET" 5 region: "us-east-1" 6 aliyun: 7 ALICLOUD_ACCESS_KEY: "KEY" 8 ALICLOUD_SECRET_KEY: "SECRET" 9 region: "cn-hangzhou" 10 tencentcloud: 11 TENCENTCLOUD_SECRET_ID: "ID" 12 TENCENTCLOUD_SECRET_KEY: "KEY" 13 region: "ap-guangzhou"

Env vars: Set AWS_ACCESS_KEY_ID, ALICLOUD_ACCESS_KEY, TENCENTCLOUD_SECRET_ID, etc. if config.yaml unavailable.

Global Flags

FlagDefaultDescription
--config~/redc/config.yamlConfig file path
-u, --usersystemUser identifier
--projectdefaultProject name
--debugfalseDebug mode

Commands

Setup

bash
1redc init # Initialize templates 2redc pull <image> # Download template (e.g., aliyun/ecs) 3redc image ls # List local templates

Deploy

bash
1redc run <template> -n <name> -e key=val # Plan & start (create infrastructure) 2redc plan <template> -n <name> # Plan only (preview without creating) 3redc start <case-id> # Start case (create infrastructure)

Manage

bash
1redc ps # List all cases 2redc status <case-id> # Check status 3redc stop <case-id> # Stop infrastructure 4redc kill <case-id> # Stop & remove 5redc rm <case-id> # Remove case

Execute

bash
1redc exec <case-id> <command> # Run command 2redc exec -t <case-id> bash # Interactive shell 3redc cp <src> <case-id>:<dest> # Upload file 4redc cp <case-id>:<src> <dest> # Download file

Workflows

Quick Deploy:

bash
1redc pull aliyun/ecs && redc init 2redc run aliyun/ecs -n myserver -e password=Pass123 3# Returns case-id (e.g., 8a57078ee856) 4redc exec 8a57078ee856 whoami

Controlled:

bash
1redc plan aws/ec2 -n staging 2# Review the planned resources, then: 3redc start <case-id> 4redc cp deploy.sh <case-id>:/root/ 5redc exec <case-id> "bash /root/deploy.sh"

Cleanup:

bash
1redc stop <case-id> && redc rm <case-id> 2# Or: redc kill <case-id>

Automation

python
1import subprocess, re 2 3def redc_run(template, name, env=None): 4 cmd = ["redc", "run", template, "-n", name] 5 if env: 6 for k, v in env.items(): 7 cmd.extend(["-e", f"{k}={v}"]) 8 result = subprocess.run(cmd, capture_output=True, text=True, check=True) 9 match = re.search(r'[a-f0-9]{12,64}', result.stdout) 10 return match.group(0) if match else None 11 12# Usage 13case_id = redc_run("aliyun/ecs", "auto_deploy", {"password": "Secure123"})

Output Patterns

  • Success: in output
  • Error: in output
  • Case ID: [a-f0-9]{64} (use first 12 chars)
  • Status: running, stopped, created, error

Error Handling

ErrorSolution
Config not foundCreate ~/redc/config.yaml
Template not foundRun redc pull <template>
Case ID not foundCheck redc ps
SSH timeoutVerify instance running, security groups
Init failedCheck network, configure Terraform mirror

JSON Schemas

Case:

json
1{ 2 "id": "string[64]", 3 "name": "string", 4 "template": "string", 5 "status": "running|stopped|created|error", 6 "outputs": {"public_ip": "string"} 7}

Config:

json
1{ 2 "providers": { 3 "aws": {"AWS_ACCESS_KEY_ID": "string", "region": "string"} 4 } 5}

Best Practices

  • Use short IDs (first 12 chars)
  • Assign meaningful names: <project>_<purpose>_<env>
  • Always cleanup: redc stopredc rm
  • Use --debug for troubleshooting
  • Never commit config.yaml to version control
  • Monitor costs with redc ps

Resources

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