agent-bom-runtimeAI runtime security monitoring — context graph analysis, runtime audit log correlation with CVE findings, and vulnerability analytics queries. Use when the u...
Install via ClawdBot CLI:
clawdbot install msaad00/agent-bom-runtimeGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/msaad00/agent-bomAudited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
Security teams use this skill to analyze runtime audit logs from cloud environments, correlating them with CVE findings to detect lateral movement and vulnerabilities in real-time. It helps in identifying misconfigurations and active threats across Kubernetes clusters and virtual machines.
Developers and DevOps engineers integrate the skill into CI/CD pipelines to query vulnerability trends and posture history from scan results. It enables proactive risk assessment and compliance reporting without requiring external API keys or telemetry.
Incident responders leverage context graph analysis to map attack paths and correlate runtime events from audit logs with known CVEs. This aids in forensic analysis and understanding breach impact in enterprise networks.
Organizations in finance or healthcare use the skill to generate analytics on runtime security events and CVE correlations for audit trails. It supports compliance with standards like PCI-DSS or HIPAA by providing detailed, queryable logs.
Offer the core skill for free under Apache-2.0 license, with premium features like advanced analytics storage via optional ClickHouse integration or enterprise support. Revenue comes from consulting services and custom integrations for large clients.
Deploy a cloud-based version where users upload audit logs for enhanced correlation and visualization, charging subscription fees based on data volume or number of queries. This model targets teams needing scalable, managed security analytics.
Partner with cybersecurity tool vendors to embed the skill into their platforms, earning revenue through licensing fees or revenue sharing. It enhances existing products with runtime monitoring and CVE correlation capabilities.
💬 Integration Tip
Install via pipx for isolated environments and ensure Python 3.11+ is available; use kubectl for Kubernetes context if needed, and configure ClickHouse optionally for persistent analytics storage.
Scored Apr 19, 2026
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