Enterprise-grade security vetting protocol for AI agent skills. Automated threat detection, quantified risk scoring, and zero-trust code analysis.
Data sourced from ClawHub. View on ClawSkills
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Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install aegis-skill-vetterOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install aegis-skill-vetterβ 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/aegis-skill-vetter/π‘Extract and place the folder at the path above, then restart your agent.
Category
π€AI Agent & AutomationPlatforms
What aegis-skill-vetter can do for your AI workflow
Enterprise-grade security 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 aegis-skill-vetter
Help me get started with aegis-skill-vetter
Explains what aegis-skill-vetter does, walks through the setup, and runs a quick demo based on your current project
Use aegis-skill-vetter to enterprise-grade security vetting protocol for AI agent skills
Invokes aegis-skill-vetter with the right parameters and returns the result directly in the conversation
What can I do with aegis-skill-vetter in my ai agent & automation workflow?
Lists the top use cases for aegis-skill-vetter, with example commands for each scenario
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aegis-skill-vetter extends your AI assistant with the ability to enterprise-grade security vetting protocol for AI agent skills. Automated threat detection, quantified risk scoring, and zero-trust code analysis. 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 aegis-skill-vetter as its underlying capability.
aegis-skill-vetter 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 aegis-skill-vetter 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.
To install aegis-skill-vetter, copy the skill folder to `~/.claude/skills/aegis-skill-vetter/` for use across all your projects, or `.claude/skills/aegis-skill-vetter/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/aegis-skill-vetter` or just describe your goal and the AI will pick it up automatically.
aegis-skill-vetter has 574 installs and is part of the growing AI Agent & Automation skill ecosystem on DiscoverAISkills. 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/aegis-skill-vetter/ for personal use (all projects), or .claude/skills/aegis-skill-vetter/ for project-specific use. Restart your AI client, then invoke with /aegis-skill-vetter or let the AI discover it automatically.
aegis-skill-vetter supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
aegis-skill-vetter is free to install. Check the repository for licensing information.
Enterprise-grade security vetting protocol for AI agent skills. Automated threat detection, quantified risk scoring, and zero-trust code analysis.
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Automate my ai agent & automation tasks using aegis-skill-vetter
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aegis-skill-vetter is categorized under AI Agent & Automation. These skills help AI agents perform specialized tasks in this domain.