agent-bom

agent-bom is a skill for Codex from LeoYeAI/openclaw-master-skills. It costs 99 tokens per session (4,459 once invoked), scanned A, original, MIT.

An AI infrastructure security scanner that finds agent tools and servers, checks software and container images for known vulnerabilities, and reviews cloud and infrastructure settings against security standards.

In plain words
What is it for?
Use it to discover MCP clients and servers, scan packages, files, container images, and infrastructure code, generate software bills of materials, check cloud CIS benchmarks, and assess OWASP, NIST, MITRE, AISVS, and MAESTRO requirements.
Why use it?
It helps reveal exposed components, outdated packages, risky connections, and configuration problems across an AI system. It also shows which other systems could be affected by a vulnerability.

Skill for Codex

Written for Codex: reads ~/.codex or $CODEX_HOME. Also seen: reads .claude/ paths; mentions Claude Code; mentions Codex.

Good fit Use it to discover MCP clients and servers, scan packages, files, container images, and infrastructure code, generate software bills of materials, check cloud CIS benchmarks, and assess OWASP, NIST, MITRE, AISVS, and MAESTRO requirements.

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Install with agentmods
npx agentmods add skills/leoyeai/openclaw-master-skills/agent-bom
About the project

OpenClaw Master Skills is a curated, regularly updated collection of skills that extends an AI personal assistant platform with capabilities such as research, browser automation, presentation creation, and prompt work. It is intended for people using OpenClaw or MyClaw.ai to give their agents additional tasks and workflows. The catalogue contains many skills and agents from this collection.

LeoYeAI/openclaw-master-skills · 2,139 stars · on GitHub · myclaw.ai

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add LeoYeAI/openclaw-master-skills --skill agent-bom
Clone the repo
git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills

Made for: Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for agent-bom

README.md
[![agentmods](https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/agent-bom/github.svg)](https://agentmods.dev/skills/leoyeai/openclaw-master-skills/agent-bom)
Your own site
<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/agent-bom"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/agent-bom/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for agent-bom

Your own site · 80×15
<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/agent-bom"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/agent-bom.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 99 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,459 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 8 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Agent Snooping · line 110
    Skill reads from agent configuration directories (.claude/, .codex/, .gemini/). These directories may contain API keys, personal settings, and other credentials that the skill has no legitimate need to access.
    Fix: Remove all code or instructions that access agent configuration directories (.claude/, .codex/, .gemini/). If configuration values are needed, pass them explicitly as parameters or environment variabl
  • high Agent Snooping · line 122
    Skill reads from agent configuration directories (.claude/, .codex/, .gemini/). These directories may contain API keys, personal settings, and other credentials that the skill has no legitimate need to access.
    Fix: Remove all code or instructions that access agent configuration directories (.claude/, .codex/, .gemini/). If configuration values are needed, pass them explicitly as parameters or environment variabl
  • high Agent Snooping · line 124
    Skill reads from agent configuration directories (.claude/, .codex/, .gemini/). These directories may contain API keys, personal settings, and other credentials that the skill has no legitimate need to access.
    Fix: Remove all code or instructions that access agent configuration directories (.claude/, .codex/, .gemini/). If configuration values are needed, pass them explicitly as parameters or environment variabl
  • high Agent Snooping · line 128
    Skill reads from agent configuration directories (.claude/, .codex/, .gemini/). These directories may contain API keys, personal settings, and other credentials that the skill has no legitimate need to access.
    Fix: Remove all code or instructions that access agent configuration directories (.claude/, .codex/, .gemini/). If configuration values are needed, pass them explicitly as parameters or environment variabl
  • medium Data Exfiltration · line 163
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 169
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 172
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Privilege Escalation · line 341
    Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.
    Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00099 $0.04459
Opus 5 $0.00049 $0.02230
Sonnet 5 $0.00020 $0.00892
Haiku 4.5 $0.00010 $0.00446

Measured 7d ago against content hash 28ace711cdcc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

agent-bom scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Reads agent configuration directorieslowAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

- "~/.claude/settings.json"

Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.

skills/agent-bom/SKILL.md · 404 lines

How it starts

The opening of the file, as written. The whole thing — 404 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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"]
    }
  }
}

Sub-Skills (8)

Sub-Skill Purpose Triggers
discover Find agents, MCP servers, configurations "find agents", "what's configured", "mcp inventory"
scan CVE scanning, image scanning, SBOM, provenance "check package", "scan image", "verify", "blast radius"
scan-infra IaC, cloud config, secrets scanning "check terraform", "scan kubernetes", "find secrets"
enforce Runtime policy enforcement, MCP proxy "block risky calls", "apply policy", "proxy"
compliance 11-framework compliance, SBOM generation "compliance report", "NIST", "SOC 2", "OWASP"
monitor Fleet monitoring, trust scores, lifecycle "fleet", "watch agents", "trust scores"
analyze Blast radius, attack paths, context graph "blast radius", "threat intel", "attack path"
troubleshoot Diagnostics, doctor, config validation "doctor", "debug", "why failing", "validate config"

Read the full file on GitHub · 404 lines

Files

What ships with it

11 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 7d ago First seen · 404 lines · 99 tokens per session scan A 28ace711cdcc

Subscribe to this mod's changes

agent-bom is a skill published in the GitHub repository LeoYeAI/openclaw-master-skills (2,139 stars, last pushed 1mo ago), licensed MIT. It adds 99 tokens to every session and 4,459 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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