agent-bom（Agent 物料清单）

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 agents            # auto-discover + scan
agent-bom check langchain==0.1.0  # check a specific package with version
agent-bom fs .              # scan filesystem packages
agent-bom image nginx:1.25  # scan container image (native)
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", "server"]
    }
  }
}

Sub-Skills (8)

Tools

Vulnerability Scanning

Compliance & Policy

Registry & Trust

Runtime & Analytics

Specialized Scans

Resources

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 agent discovery + scan
agents()

# 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()

# Scan instruction files and then inspect trust
skill_scan(path=".")
skill_trust(skill_path="./SKILL.md")

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 agents() 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 agents

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 agent-bom@0.76.4
• 7,100+ tests with CodeQL + OpenSSF Scorecard
• No telemetry: Zero tracking, zero analytics