Agent Bom Runtime

DevOps & Security

agent-bom-runtime

Agent Bom Runtime is an Agent Skill for devops & security published in the LeoYeAI/openclaw-master-skills repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.

AI runtime security monitoring — context graph analysis, runtime audit log correlation with CVE findings, and vulnerability analytics queries. Use when the user mentions runtime monitoring, context graphs, lateral movement analysis, audit log correlation, or vulnerability analytics.

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How to use this skill

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Prompt to paste

Inspect the Agent Skill at https://github.com/LeoYeAI/openclaw-master-skills/blob/HEAD/skills/agent-bom/runtime/SKILL.md and all supporting files. Report provenance, permissions, scripts, dependencies, and security risks. Propose an exact installation into .agents/skills/agent-bom-runtime, but wait for my approval before writing files or running scripts.

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agent-bom-runtime — AI Runtime Security Monitoring

Context graph analysis, runtime audit log correlation with CVE findings, and vulnerability analytics queries.

Install

pipx install agent-bom

Tools (3)

Tool	Description
`context_graph`	Agent context graph with lateral movement analysis
`analytics_query`	Query vulnerability trends, posture history, and runtime events
`runtime_correlate`	Cross-reference runtime audit logs with CVE findings

Example Workflows

# Build context graph from scan results
context_graph()

# Correlate runtime audit with CVE data
runtime_correlate(audit_file="proxy-audit.jsonl")

# Query analytics
analytics_query(query="top_cves", days=30)

Privacy & Data Handling

Operates on scan results already in memory and user-provided audit log files. No automatic file discovery. No network calls unless you configure an optional ClickHouse endpoint for persistent analytics.

Verification

Source: github.com/msaad00/agent-bom (Apache-2.0)
6,040+ tests with CodeQL + OpenSSF Scorecard
No telemetry: Zero tracking, zero analytics