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msaad00

agent-bom scan

by Agent Bom · GitHub ↗ · v0.82.3 · MIT-0
darwinlinuxwindows ⚠ suspicious
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Install in OpenClaw
/install agent-bom-scan
Description
Open security scanner for agentic infrastructure — agents, MCP, packages, blast radius, runtime, and trust for package CVEs (OSV, NVD, EPSS, KEV), container...
README (SKILL.md)

agent-bom-scan — AI Supply Chain Vulnerability Scanner

Checks packages for CVEs, scans container images natively, verifies package provenance via Sigstore, scans filesystems, and generates SBOMs.

Install

pipx install agent-bom
agent-bom agents             # discover agents and scan dependencies
agent-bom check langchain==0.1.0  # check a specific package with version
agent-bom image nginx:1.25   # scan container image (native)
agent-bom fs .               # scan filesystem packages
agent-bom sbom .             # generate SBOM
agent-bom verify agent-bom   # verify Sigstore provenance
agent-bom where              # show all discovery paths

As an MCP Server

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

When to Use

  • "check package" / "is this package safe"
  • "scan image" / "scan container"
  • "verify" / "check provenance"
  • "is this safe" / "CVE lookup"
  • "scan dependencies"
  • "blast radius"
  • "generate SBOM"

Tools (8)

Tool Description
check Check a package for CVEs (OSV, NVD, EPSS, KEV)
scan Full discovery + vulnerability scan pipeline
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

Examples

# Check a package before installing
check(package="langchain", version="0.1.0", ecosystem="pypi")

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

# Full scan
scan()

# Verify package provenance
verify(package="agent-bom")

Guardrails

  • Show CVEs even when NVD analysis is pending or severity is unknown — a CVE ID is still a real finding.
  • Treat UNKNOWN severity as unresolved, not benign — it means data is not yet available.
  • Do not modify any files, install packages, or change system configuration.
  • Only public package names and CVE IDs leave the machine for vulnerability database lookups.
  • Ask before scanning paths outside the user's home directory.

Privacy & Data Handling

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

# Step 4: Only then run scans
agent-bom agents

Verification

Usage Guidance
This skill appears to be what it says (an on‑host scanner) but it instructs the agent to read many local MCP/agent/project config files that often contain secrets. Before installing: (1) confirm the skill bundle comes from a trusted source (inspect the upstream GitHub repo and the code, especially the sanitize_env_vars implementation referenced in the metadata), (2) run the scanner in an isolated environment or container if possible, (3) avoid running it on machines with sensitive credentials you can't afford to expose, and (4) review any files listed under file_reads to understand what will be accessed. Because this is instruction-only, you should verify the actual agent-bom code (pip package or GitHub source) to confirm the claimed local-only data flow and sanitization behavior.
Capability Analysis
Type: OpenClaw Skill Name: agent-bom-scan Version: 0.82.3 The skill requests extensive read access to sensitive configuration files for dozens of AI agents and IDEs (e.g., Claude, Cursor, Windsurf, Snowflake, JetBrains) in SKILL.md. While the stated purpose is to scan these environments for vulnerabilities and the documentation claims to redact credentials locally before processing, the broad access to files known to contain API keys and connection strings represents a high-risk capability. Without the underlying Python source code to verify the redaction logic, the tool's behavior mirrors that of a credential harvester, even though the listed network endpoints (OSV, NVD, GitHub) are legitimate.
Capability Tags
requires-sensitive-credentials
Capability Assessment
Purpose & Capability
The name/description (agent supply-chain and blast‑radius scanning) align with the things the skill enumerates: package CVE lookups, image scanning, Sigstore verification, and discovery of agent/MCP configuration files. Asking to read MCP and project-level config files is coherent for discovering agents and mapping blast radius.
Instruction Scope
SKILL.md (metadata) explicitly lists many local config paths (~/.config, ~/Library/Application Support, project .mcp.json, etc.) that the skill will read. Those files can contain tokens, credentials, or other sensitive data. The skill claims to sanitize env vars and keep scanning local-first, but because this is an instruction-only skill (no code included in the bundle) the claim cannot be audited here and the instructions grant broad local file read scope.
Install Mechanism
There is no install spec in the bundle (instruction-only). The project recommends installing via pipx/pip or using the project's Docker image; those are standard distribution channels and appropriate for this tool. No arbitrary download URLs are embedded in the skill.
Credentials
The skill declares no required env vars or credentials, which is consistent with its metadata. However it also declares a long list of config files to read — several (Snowflake, Copilot, CLI configs) commonly hold credentials or tokens. That broad local access is disproportionate to an agent skill unless the user explicitly consents and understands what will be read. The sanitization claim helps but cannot be validated from this instruction-only package.
Persistence & Privilege
The skill does not request 'always: true' or persistence. autonomous invocation is listed as restricted in the metadata. It does not ask to change other skills' configs or system-wide settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install agent-bom-scan
  3. After installation, invoke the skill by name or use /agent-bom-scan
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.82.3
Release v0.82.3
v0.82.2
Release v0.82.2
v0.81.3
Release v0.81.3
v0.81.1
Release v0.81.1
v0.81.0
Release v0.81.0
v0.80.1
Release v0.80.1
v0.78.1
Release v0.78.1
v0.76.4
Release v0.76.4
v0.76.2
Release v0.76.2
v0.76.1
Release v0.76.1
v0.76.0
Release v0.76.0
v0.75.15
Release v0.75.15
v0.75.14
Release v0.75.14
v0.75.13
Release v0.75.13
v0.75.11
Release v0.75.11
v0.75.10
Release v0.75.10
v0.75.9
Release v0.75.9
v0.75.8
Release v0.75.8
v0.75.7
Release v0.75.7
v0.75.6
Release v0.75.6
Metadata
Slug agent-bom-scan
Version 0.82.3
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 36
Frequently Asked Questions

What is 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... It is an AI Agent Skill for Claude Code / OpenClaw, with 733 downloads so far.

How do I install agent-bom scan?

Run "/install agent-bom-scan" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is agent-bom scan free?

Yes, agent-bom scan is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does agent-bom scan support?

agent-bom scan is cross-platform and runs anywhere OpenClaw / Claude Code is available (darwin, linux, windows).

Who created agent-bom scan?

It is built and maintained by Agent Bom (@msaad00); the current version is v0.82.3.

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