Set up authorized C2 simulation workflows and measure defensive detection outcomes.
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Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install pentest-c2-operatorOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install pentest-c2-operatorβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/pentest-c2-operator/π‘Extract and place the folder at the path above, then restart your agent.
Category
π»Developer & DevOpsPlatforms
What Pentest C2 Operator can do for your AI workflow
Up authorized c2 simulation directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Pentest C2 Operator
Help me get started with Pentest C2 Operator
Explains what Pentest C2 Operator does, walks through the setup, and runs a quick demo based on your current project
Use Pentest C2 Operator to set up authorized C2 simulation workflows and measure defensive det...
Invokes Pentest C2 Operator with the right parameters and returns the result directly in the conversation
What can I do with Pentest C2 Operator in my developer & devops workflow?
Lists the top use cases for Pentest C2 Operator, with example commands for each scenario
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Pentest C2 Operator extends your AI assistant with the ability to set up authorized C2 simulation workflows and measure defensive detection outcomes. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Pentest C2 Operator as its underlying capability.
Pentest C2 Operator works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Pentest C2 Operator once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Getting started with Pentest C2 Operator takes about two minutes. Place the skill at `~/.claude/skills/pentest-c2-operator/` (personal, all projects) or `.claude/skills/pentest-c2-operator/` (project-specific), then restart your AI client. From that point, typing `/pentest-c2-operator` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Pentest C2 Operator has 597 installs and is part of the growing Developer & DevOps skill ecosystem on DiscoverAISkills. The source code is open on GitHub β you can inspect it, contribute fixes, or fork it to adapt the skill for your specific setup. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/pentest-c2-operator/ for personal use (all projects), or .claude/skills/pentest-c2-operator/ for project-specific use. Restart your AI client, then invoke with /pentest-c2-operator or let the AI discover it automatically.
Pentest C2 Operator supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Pentest C2 Operator is free to install. Check the repository for licensing information.
Set up authorized C2 simulation workflows and measure defensive detection outcomes.
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Links
Automate my developer & devops tasks using Pentest C2 Operator
Identifies repetitive steps in your workflow and sets up Pentest C2 Operator to handle them automatically
Pentest C2 Operator is categorized under Developer & DevOps. These skills help AI agents perform specialized tasks in this domain.