agent-bom-runtime

Correlate runtime events with CVE findings for security monitoring.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates runtime security monitoring for AI agent ecosystems by correlating runtime events with CVE findings and audit logs.

Core Features & Use Cases

  • Context Graph Analysis: Build and traverse context graphs to reveal lateral movement paths and relationships between entities.
  • Audit-log Correlation: Aligns runtime events with CVE data to assess exposure and risk across the environment.
  • Vulnerability Analytics: Provide analytics queries over runtime data to track vulnerability posture and trends.

Quick Start

Use agent-bom-runtime to enable runtime security monitoring and correlate runtime events with CVE findings.

Frequently Asked Questions about agent-bom-runtime

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

FAQPage Schema
How do I correlate runtime security events with CVE findings and audit logs?

Runtime security event correlation with CVE findings is automated by analyzing in-memory scan results and aligning runtime events with audit-log data to assess exposure and risk across the environment.

What is context graph analysis for lateral movement detection in agent ecosystems?

Context graph analysis builds and traverses relationship graphs between entities to reveal lateral movement paths, enabling runtime security monitoring across AI agent ecosystems.

Can I use ClickHouse for vulnerability analytics with zero-credential deployment?

ClickHouse provides optional analytics queries over runtime data to track vulnerability posture and trends, supporting zero-credential deployment with Python 3.11+.

How do I monitor runtime security for AI agents without storing credentials?

Runtime security monitoring for AI agent ecosystems operates with zero-credential deployment, correlating runtime events with CVE findings and audit logs without requiring stored credentials.

Do I need Python 3.11 or higher to run runtime security monitoring and CVE analytics?

Python 3.11 or higher is required to run runtime security monitoring and CVE analytics, with ClickHouse as an optional dependency for enhanced vulnerability analytics queries.

What's the best way to detect lateral movement paths using runtime scan results?

Analyzing in-memory scan results to build context graphs is the best approach, revealing lateral movement paths and entity relationships for runtime security monitoring and vulnerability assessment.