agent-bom

agent-bom is a skill for Claude Code, Codex from msaad00/agent-bom. It costs 39 tokens per session (988 once invoked), scanned A, original, Apache-2.0.

An open security scanner for AI-agent setups, including agents, MCP servers, packages, skills, and their access to credentials and tools. MCP is a standard way for an AI agent to connect to external tools.

In plain words
What is it for?
Use it to scan agent infrastructure, check packages for CVEs, assess skills and MCP servers, map blast radius, create software bills of materials, or verify package provenance.
Why use it?
It helps identify known vulnerabilities, supply-chain risks, exposed credentials, unsafe configurations, and the possible reach of a security problem.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to scan agent infrastructure, check packages for CVEs, assess skills and MCP servers, map blast radius, create software bills of materials, or verify package provenance.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/msaad00/agent-bom/cortex-code
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 msaad00/agent-bom --skill cortex-code
Clone the repo
git clone --depth 1 https://github.com/msaad00/agent-bom

Made for: Claude Code, 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/msaad00/agent-bom/cortex-code/github.svg)](https://agentmods.dev/skills/msaad00/agent-bom/cortex-code)
Your own site
<a href="https://agentmods.dev/skills/msaad00/agent-bom/cortex-code"><img src="https://agentmods.dev/badge/skills/msaad00/agent-bom/cortex-code/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/msaad00/agent-bom/cortex-code"><img src="https://agentmods.dev/badge/skills/msaad00/agent-bom/cortex-code.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 988 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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: 2 findings, up to medium

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 →

  • medium MCP Rug Pull · line 43
    uvx/uv tool run commands without ==version create a rug-pull risk.
    Fix: Pin the version: uvx package-name==1.2.3
  • medium MCP Rug Pull · line 92
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
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 $0.00039 $0.00988
Opus 5.5 $0.00016 $0.00395
Sonnet 5.5 $0.00008 $0.00198
Haiku 4.5 $0.00004 $0.00099

Measured 1mo ago against content hash 7658b90ae656, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

agent-bom scanned grade A with 0 findings 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 1mo 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

integrations/cortex-code/SKILL.md · 130 lines

How it starts

The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.

agent-bom — Security Platform for Agentic Infrastructure

Scan your MCP servers, AI agents, and their packages: CVEs and supply-chain risk (malicious/typosquat) in the packages, plus credential exposure, identity/auth/access posture, and MCP config risk on the servers and agents. Maps blast radius from a finding to the credentials and tools it can reach.

When to Use

  • Before installing a new MCP server or skill
  • To audit your Cortex Code MCP configuration for vulnerabilities
  • To check if a specific package has known CVEs
  • To map the blast radius of a vulnerability across your agent setup
  • To generate an SBOM for compliance (CycloneDX, SPDX)
  • To verify package integrity via Sigstore provenance

What This Skill Provides

  • CVE scanning with enrichment from OSV, NVD, EPSS, CISA KEV
  • MCP server discovery across real AI developer tools, including Cortex Code
  • Blast radius mapping — which agents, credentials, and tools are exposed
  • Compliance mapping across OWASP, NIST, MITRE, EU AI Act, and related frameworks
  • Runtime proxy for MCP traffic interception and policy enforcement
  • SKILL.md trust assessment with 17 behavioral risk patterns

Install

# Install via pip or pipx
pipx install agent-bom

# Or run directly with uvx (no install needed)
uvx agent-bom scan

Instructions

Scan the current MCP setup

agent-bom scan

Auto-discovers all configured MCP clients (Cortex Code, Claude Desktop, Cursor, etc.), resolves their server packages, and scans for CVEs.

Check a package before installing

agent-bom check <package>@<version> --ecosystem <npm|pypi|go|maven|cargo|nuget|gem>

Map blast radius of a CVE

agent-bom scan --enrich
# Then review the blast radius section in the output

Generate SBOM

agent-bom scan -f cyclonedx -o sbom.json
agent-bom scan -f spdx -o sbom.spdx.json

Scan with GPU infrastructure detection

agent-bom scan --gpu-scan

Read the full file on GitHub · 130 lines

Files

What ships with it

1 file 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. 1mo ago Changed 7658b90ae656
  2. 1mo ago First seen · 130 lines · 39 tokens per session scan A e18b9a45a22c

Subscribe to this mod's changes

agent-bom is a skill published in the GitHub repository msaad00/agent-bom (31 stars, last pushed 9d ago), licensed Apache-2.0. It adds 39 tokens to every session and 988 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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