agent-bom-analyze

Analyzes AI infrastructure blast radius and attack-path risk using Python 3.11+ and public CVE databases.

29|7|Updated Feb 22, 2026
One-click install
npx skills add https://github.com/msaad00/agent-bom --skill agent-bom-analyze
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-bom-analyze
Source: https://github.com/msaad00/agent-bom/tree/main/integrations/openclaw/analyze
Command: npx skills add https://github.com/msaad00/agent-bom --skill agent-bom-analyze

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyze blast radius, attack paths, and threat landscape across your AI infrastructure, enabling proactive risk reduction and faster remediation.

Core Features & Use Cases

  • Map blast radius across agents, servers, and credentials to understand exposure.
  • Analyze attack paths and lateral movement risks to prioritize mitigations.
  • Visualize threat landscape and context graph to support incident response and planning.

Quick Start

Run the agent-bom analyze command to generate a blast radius report for your AI infrastructure.

Frequently Asked Questions about agent-bom-analyze

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze blast radius and attack paths across AI infrastructure?

Blast radius analysis maps exposure across agents, servers, and credentials to visualize attack paths and lateral movement risks. By correlating local scan data with threat intelligence lookups from public CVE databases, it generates actionable risk reduction reports for AI infrastructure.

What is blast radius analysis used for in security posture reviews?

Blast radius analysis is used to map exposure across agents, servers, and credentials during security posture reviews. It helps prioritize mitigations by visualizing attack paths, lateral movement risks, and the overall threat landscape to support incident response and proactive risk reduction.

Do I need Python installed to map AI infrastructure threat landscapes?

Yes, mapping AI infrastructure threat landscapes requires Python 3.11 or later. The analysis runs locally using your scan data to perform end-to-end blast radius mapping and threat intelligence lookups against public CVE databases.

Can I use local scan data for threat intelligence lookups and risk scoring?

Yes, you can use local scan data for threat intelligence lookups and risk scoring. The analysis correlates your local infrastructure data with public CVE databases and EPSS scoring to evaluate the threat landscape and prioritize remediation.

Does blast radius analysis work for both on-prem and cloud AI deployments?

Yes, blast radius analysis works for both on-prem and cloud AI deployments. It assesses attack paths, lateral movement risks, and threat landscapes across diverse AI infrastructure to support incident response and security posture reviews.

What is the best way to visualize attack paths and lateral movement risks?

Visualizing attack paths and lateral movement risks is best achieved by mapping the blast radius across agents, servers, and credentials. This generates a context graph of your threat landscape, enabling faster remediation and proactive risk reduction during incident response.