agent-bom-monitor
Monitor agent fleet, track trust scores, and manage lifecycle states. Use when: "fleet", "watch agents", "runtime status", "trust scores", "fleet sync", "agent lifecycle", "serve dashboard".
Best use case
agent-bom-monitor is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Monitor agent fleet, track trust scores, and manage lifecycle states. Use when: "fleet", "watch agents", "runtime status", "trust scores", "fleet sync", "agent lifecycle", "serve dashboard".
Teams using agent-bom-monitor should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/monitor/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How agent-bom-monitor Compares
| Feature / Agent | agent-bom-monitor | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Monitor agent fleet, track trust scores, and manage lifecycle states. Use when: "fleet", "watch agents", "runtime status", "trust scores", "fleet sync", "agent lifecycle", "serve dashboard".
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# agent-bom-monitor — Agent Fleet Monitor Monitor agent fleet health, track trust scores, and manage agent lifecycle states across your AI infrastructure. Start a local dashboard server for continuous monitoring. ## Install ```bash pipx install agent-bom agent-bom fleet sync # sync fleet state with latest scan agent-bom fleet list # list all agents and trust scores agent-bom serve # start local monitoring dashboard ``` ## When to Use - "fleet" / "agent fleet" - "watch agents" / "monitor agents" - "runtime status" - "trust scores" - "fleet sync" - "agent lifecycle" - "serve dashboard" / "start dashboard" ## Commands ```bash # Sync fleet state with latest scan agent-bom fleet sync # List all agents with trust scores agent-bom fleet list # Start local monitoring dashboard agent-bom serve ``` ## Examples ``` # Sync fleet fleet_sync() # List agents and trust scores fleet_list() # Start dashboard server serve() ``` **Example fleet list output:** ``` Agent Fleet — 7 agents tracked filesystem trust: 92 status: healthy last-scan: 2m ago brave-search trust: 88 status: healthy last-scan: 2m ago github trust: 95 status: healthy last-scan: 2m ago slack trust: 71 status: warning last-scan: 2m ago [2 CVEs] postgres trust: 84 status: healthy last-scan: 2m ago linear trust: 90 status: healthy last-scan: 2m ago notion trust: 67 status: at-risk last-scan: 2m ago [CRITICAL] ``` ## Guardrails - Fleet monitoring is read-only — no agents are modified. - The dashboard server runs on localhost only — no external exposure. - Confirm with the user before starting `agent-bom serve` — it binds a local port. - Trust scores are derived from local scan data; they do not contact external services.
Related Skills
missing-guardrail-fixture
Fixture that intentionally omits the capability guardrail contract.
agent-bom-vulnerability-intel
Use agent-bom to check package, SBOM, inventory, and agent dependency exposure against OSV, GitHub Security Advisories, NVD, EPSS, and CISA KEV with explicit data-boundary choices. Use when a user asks for CVE lookup, advisory intelligence, exploitability context, fix versions, GHSA/OSV/NVD enrichment, or package vulnerability triage.
agent-bom-troubleshoot
Diagnose issues, check prerequisites, and validate configurations. Use when: "doctor", "debug", "why failing", "validate config", "check prerequisites", "something is broken", "db status", "fix my setup".
agent-bom-scan
Open security scanner for agentic infrastructure — agents, MCP, packages, blast radius, runtime, and trust for package CVEs (OSV, NVD, EPSS, KEV), container images, provenance, filesystems, and SBOMs. Use when: "check package", "scan image", "verify", "is this safe", "scan dependencies", "CVE lookup", "blast radius".
agent-bom-scan-infra
Scan infrastructure-as-code, cloud configurations, and find secrets. Use when: "check terraform", "scan kubernetes", "IaC", "find secrets", "scan dockerfile", "cloud security", "misconfigurations".
agent-bom-runtime
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.
agent-bom-registry
MCP server security registry and trust assessment — look up servers in the 427+ server security metadata registry, run pre-install marketplace checks, batch fleet risk scoring, assess skill file trust, and run SAST code scans. Use when the user mentions MCP server trust, registry lookup, marketplace check, or skill trust assessment.
agent-bom-ingest
Validate and ingest operator-pushed agent-bom inventory JSON from AWS, Azure, GCP, Snowflake, CMDB, or endpoint collectors. Use when a user has canonical inventory JSON and wants local findings, graph, policy, provenance, or auditor-ready exports without giving agent-bom direct cloud credentials.
agent-bom-enforce
Enforce security policies on MCP tool calls and block dangerous operations at runtime. Use when: "block risky calls", "apply policy", "proxy", "runtime protection", "policy enforcement", "intercept MCP calls".
agent-bom-discover
Discover AI agents, MCP servers, and configurations on this machine or environment. Use when: "find agents", "what's configured", "doctor", "what MCP servers", "show me what's installed", "mcp inventory".
agent-bom-discover-snowflake
Discover Snowflake Cortex, Snowpark, notebook, Streamlit, MCP, and AI-observability assets from the operator's environment, emit canonical agent-bom inventory JSON, and scan it without giving agent-bom long-lived Snowflake credentials. Use when a user asks to inventory Snowflake AI or Cortex infrastructure as canonical inventory.
agent-bom-discover-gcp
Discover GCP-hosted AI agent and MCP-relevant assets from the operator's environment, emit canonical agent-bom inventory JSON, and scan it without giving agent-bom long-lived GCP credentials. Use when a user asks to inventory Vertex AI, Cloud Run, Cloud Functions, GKE, or agentic GCP infrastructure as canonical inventory.