Open security scanner for agentic infrastructure β agents, MCP, packages, blast radius, runtime, and trust across MCP discovery, CVEs, SBOMs, CIS benchmarks...
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Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install agent-bomOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install agent-bomβ 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/agent-bom/π‘Extract and place the folder at the path above, then restart your agent.
Category
π»Developer & DevOpsPlatforms
What agent-bom can do for your AI workflow
Open security scanner directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,377+ developers worldwide
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 agent-bom
Help me get started with agent-bom
Explains what agent-bom does, walks through the setup, and runs a quick demo based on your current project
Use agent-bom to open security scanner for agentic infrastructure β agents, MCP, pac...
Invokes agent-bom with the right parameters and returns the result directly in the conversation
What can I do with agent-bom in my developer & devops workflow?
Lists the top use cases for agent-bom, with example commands for each scenario
Guides & tutorials for AI skills
agent-bom extends your AI assistant with the ability to open security scanner for agentic infrastructure β agents, MCP, packages, blast radius, runtime, and trust across MCP discovery, CVEs, SBOMs, CIS benchmarks... 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 agent-bom as its underlying capability.
agent-bom 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 agent-bom 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 agent-bom, copy the skill folder to `~/.claude/skills/agent-bom/` for use across all your projects, or `.claude/skills/agent-bom/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/agent-bom` or just describe your goal and the AI will pick it up automatically.
agent-bom has been installed 1,377 times, making it one of the more actively used skills in the Developer & DevOps category. The install rate suggests it solves a real, recurring need rather than a niche edge case. 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/agent-bom/ for personal use (all projects), or .claude/skills/agent-bom/ for project-specific use. Restart your AI client, then invoke with /agent-bom or let the AI discover it automatically.
agent-bom supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
agent-bom is free to install. Check the repository for licensing information.
Open security scanner for agentic infrastructure β agents, MCP, packages, blast radius, runtime, and trust across MCP discovery, CVEs, SBOMs, CIS benchmarks...
Automate my developer & devops tasks using agent-bom
Identifies repetitive steps in your workflow and sets up agent-bom to handle them automatically
MCP vs traditional plugins: what's the difference?
agent-bom is categorized under Developer & DevOps. These skills help AI agents perform specialized tasks in this domain.