SkillHub

agent-bom

v0.72.0

Security scanner for AI infrastructure and supply chain — discovers MCP clients and servers, scans for CVEs, maps blast radius, generates SBOMs, runs CIS benchmarks (AWS, Azure, GCP, Snowflake), OWASP/NIST/MITRE compliance, AISVS v1.0, MAESTRO layer tagging, and vector database security checks. Use...

Sourced from ClawHub, Authored by Agent Bom

Installation

Please help me install the skill `agent-bom` from SkillHub official store. npx skills add msaad00/agent-bom

agent-bom — AI Agent Infrastructure Security Scanner

Discovers MCP clients and servers across 22 AI tools, scans for CVEs, maps blast radius, runs cloud CIS benchmarks, checks OWASP/NIST/MITRE compliance, generates SBOMs, and assesses AI infrastructure against AISVS v1.0 and MAESTRO framework layers.

Install

pipx install agent-bom
agent-bom scan              # auto-discover + scan
agent-bom check langchain   # check a specific package
agent-bom fs .              # scan filesystem packages
agent-bom image nginx:1.25  # scan container image (native, no Syft)
agent-bom cloud aws         # AWS CIS benchmark
agent-bom iac infra/        # scan Terraform/CloudFormation
agent-bom where             # show all discovery paths

As an MCP Server

{
  "mcpServers": {
    "agent-bom": {
      "command": "uvx",
      "args": ["agent-bom", "mcp"]
    }
  }
}

Tools (32)

Vulnerability Scanning

Tool Description
scan Full discovery + vulnerability scan pipeline
check Check a package for CVEs (OSV, NVD, EPSS, KEV)
blast_radius Map CVE impact chain across agents, servers, credentials
remediate Prioritized remediation plan for vulnerabilities
verify Package integrity + SLSA provenance check
diff Compare two scan reports (new/resolved/persistent)
where Show MCP client config discovery paths
inventory List discovered agents, servers, packages

Compliance & Policy

Tool Description
compliance OWASP LLM/Agentic Top 10, EU AI Act, MITRE ATLAS, NIST AI RMF
policy_check Evaluate results against custom security policy (17 conditions)
cis_benchmark CIS benchmark checks (AWS, Azure v3.0, GCP v3.0, Snowflake)
generate_sbom Generate SBOM (CycloneDX or SPDX format)
aisvs_benchmark OWASP AISVS v1.0 compliance — 9 AI security checks

Registry & Trust

Tool Description
registry_lookup Look up MCP server in 427+ server security metadata registry
marketplace_check Pre-install trust check with registry cross-reference
fleet_scan Batch registry lookup + risk scoring for MCP server inventories
skill_trust Assess skill file trust level (5-category analysis)
code_scan SAST scanning via Semgrep with CWE-based compliance mapping

Runtime & Analytics

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 proxy audit JSONL with CVE findings, risk amplification
vector_db_scan Probe Qdrant/Weaviate/Chroma/Milvus for auth and exposure
gpu_infra_scan GPU container and K8s node inventory + unauthenticated DCGM probe (MAESTRO KC6)

Specialized Scans

Tool Description
dataset_card_scan Scan dataset cards for bias, licensing, and provenance issues
training_pipeline_scan Scan training pipeline configs for security risks
browser_extension_scan Scan browser extensions for risky permissions and AI domain access
model_provenance_scan Verify model provenance and supply chain integrity
prompt_scan Scan prompt templates for injection and data leakage risks
model_file_scan Scan model files for unsafe serialization (pickle, etc.)
license_compliance_scan Full SPDX license catalog scan with copyleft and network-copyleft detection
ingest_external_scan Import Trivy/Grype/Syft scan results and merge into agent-bom findings

Resources

Resource Description
registry://servers Browse 427+ MCP server security metadata registry

Example Workflows

# Check a package before installing
check(package="@modelcontextprotocol/server-filesystem", ecosystem="npm")

# Map blast radius of a CVE
blast_radius(cve_id="CVE-2024-21538")

# Full scan
scan()

# Run CIS benchmark
cis_benchmark(provider="aws")

# Run AISVS v1.0 compliance
aisvs_benchmark()

# Scan vector databases for auth misconfigurations
vector_db_scan()

# Discover GPU containers, K8s GPU nodes, and unauthenticated DCGM endpoints
gpu_infra_scan()

# Assess trust of a skill file
skill_trust(skill_content="<paste SKILL.md content>")

Guardrails

Always do: - Show CVEs even when NVD analysis is pending or severity is unknown — a CVE ID with no details is still a real finding. Report what is known; mark severity as unknown explicitly. - Confirm with the user before scanning cloud environments (cis_benchmark) — these make live API calls to AWS/Azure/GCP using the user's credentials. - Treat UNKNOWN severity as unresolved, not benign — it means data is not yet available, not that the issue is minor.

Never do: - Do not modify any files, install packages, or change system configuration. This skill is read-only. - Do not transmit env var values, credentials, or file contents to any external service. Only package names and CVE IDs leave the machine. - Do not invoke scan() autonomously on sensitive environments without user confirmation. The autonomous_invocation policy is restricted.

Stop and ask the user when: - The user requests a cloud CIS benchmark and no cloud credentials are configured. - A scan finds CRITICAL CVEs — present findings and ask whether to generate a remediation plan. - The user asks to scan a path outside their home directory.

Supported Frameworks (14)

  • OWASP LLM Top 10 (2025) — prompt injection, supply chain, data leakage
  • OWASP MCP Top 10 — MCP-specific security risks
  • OWASP Agentic Top 10 — tool poisoning, rug pulls, credential theft
  • OWASP AISVS v1.0 — AI Security Verification Standard (9 checks)
  • MITRE ATLAS — adversarial ML threat framework
  • NIST AI RMF — govern, map, measure, manage lifecycle
  • NIST CSF 2.0 — identify, protect, detect, respond, recover
  • NIST 800-53 Rev 5 — federal security controls (CM-8, RA-5, SI-2, SR-3)
  • FedRAMP Moderate — derived from NIST 800-53 controls
  • EU AI Act — risk classification, transparency, SBOM requirements
  • ISO 27001:2022 — information security controls (Annex A)
  • SOC 2 — Trust Services Criteria
  • CIS Controls v8 — implementation groups IG1/IG2/IG3
  • CMMC 2.0 — cybersecurity maturity model (Level 1-3)

Privacy & Data Handling

This skill installs agent-bom from PyPI. Verify the redaction behavior before running with any config files:

# Step 1: Install
pip install agent-bom

# Step 2: Review redaction logic BEFORE scanning
# sanitize_env_vars() replaces ALL env var values with ***REDACTED***
# BEFORE any config data is processed or stored:
# https://github.com/msaad00/agent-bom/blob/main/src/agent_bom/security.py#L159

# Step 3: Review config parsing — only structural data extracted:
# https://github.com/msaad00/agent-bom/blob/main/src/agent_bom/discovery/__init__.py

# Step 4: Verify package provenance (Sigstore)
agent-bom verify agent-bom

# Step 5: Only then run scans
agent-bom scan

What is extracted: Server names, commands, args, and URLs from MCP client config files across 22 AI tools. What is NOT extracted: Env var values are replaced with ***REDACTED*** by sanitize_env_vars() before any processing. Only public package names and CVE IDs are sent to vulnerability databases. Cloud CIS checks use locally configured credentials and call only the cloud provider's own APIs.

Verification

  • Source: github.com/msaad00/agent-bom (Apache-2.0)
  • Sigstore signed: agent-bom verify [email protected]
  • 6,533+ tests with CodeQL + OpenSSF Scorecard
  • No telemetry: Zero tracking, zero analytics