agent-bom-vulnerability-intel

agent-bom-vulnerability-intel is a skill for Claude Code, Codex from msaad00/agent-bom. It costs 88 tokens per session (1,605 once invoked), scanned A, original, Apache-2.0.

A tool for checking whether software packages and agent dependencies have known security vulnerabilities. It uses sources such as OSV, GitHub advisories, NVD, EPSS, and CISA KEV.

In plain words
What is it for?
Use it to check a package, scan local agent inventories, review vulnerabilities offline, or export findings for a pull-request gate or audit.
Why use it?
It brings vulnerability details, severity, exploitability context, and possible fix versions into one review.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/msaad00/agent-bom/vulnerability-intel
Any agent
npx skills add msaad00/agent-bom --skill vulnerability-intel
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-vulnerability-intel

README.md
[![agentmods](https://agentmods.dev/badge/skills/msaad00/agent-bom/vulnerability-intel.svg)](https://agentmods.dev/skills/msaad00/agent-bom/vulnerability-intel)
Your own site
<a href="https://agentmods.dev/skills/msaad00/agent-bom/vulnerability-intel"><img src="https://agentmods.dev/badge/skills/msaad00/agent-bom/vulnerability-intel.svg" alt="Measured on agentmods" height="20"></a>
Per session 88 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,605 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00088 $0.01605
Opus 5 $0.00044 $0.00803
Sonnet 5 $0.00018 $0.00321
Haiku 4.5 $0.00009 $0.00161

Measured today against content hash c7ce189db6e2, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agent-bom-vulnerability-intel 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 today.

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/openclaw/vulnerability-intel/SKILL.md · 160 lines

How it starts

The opening of the file, as written. The whole thing — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.

agent-bom-vulnerability-intel

Use this skill to answer vulnerability-intelligence questions through agent-bom's existing scanners and canonical evidence model. Do not create one-off OSV, GHSA, NVD, EPSS, or KEV clients in the agent session; route through agent-bom so advisory provenance, aliases, severity gates, cache behavior, redaction, and output schemas stay consistent.

Modes

Start with the smallest mode that answers the user:

Mode Use When Data Boundary
explain-only User wants to know what would be queried No advisory calls
check-package User names one package/version/ecosystem Only that package identifier is queried
scan-local User wants findings from local agents or a local inventory file Local parse first; advisory calls use package identifiers only
offline-review Private package names cannot leave the environment Use local/cache-approved data only; disclose reduced coverage
export User wants PR gate, SARIF, JSON, or audit evidence Write only to an operator-selected path

Guardrails

  • Ask before scanning a broad filesystem path or local agent configs.
  • Do not paste or reveal NVD_API_KEY, GITHUB_TOKEN, package-registry credentials, cloud credentials, or env values.
  • Do not send full source files, lockfiles, config contents, secrets, or scan reports to advisory providers. agent-bom extracts package identifiers first.
  • Treat unknown or unresolvable versions as coverage gaps, not clean results.
  • Preserve advisory provenance. Do not collapse OSV, GHSA, NVD, EPSS, and KEV into a single unlabelled severity.
  • Do not modify dependencies or install fixes unless the user explicitly asks for a remediation workflow.

Workflows

Explain the Boundary

When the user asks "what leaves my environment?", answer before running:

This lookup sends package identifiers (name, version, ecosystem/PURL) and CVE
IDs to public advisory databases. It does not send source code, raw configs,
secrets, env values, credentials, or full scan reports. Use offline-review if
private package names are sensitive.

Read the full file on GitHub · 160 lines

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. today Changed c7ce189db6e2
  2. 4d ago First seen · 160 lines · 88 tokens per session scan A 6f0631e27249

Subscribe to this mod's changes

agent-bom-vulnerability-intel is a skill published in the GitHub repository msaad00/agent-bom (31 stars, last pushed today), licensed Apache-2.0. It adds 88 tokens to every session and 1,605 once invoked, about $0.0004 per session on Opus 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.

Related

Other skills, from other repositories

sbom-analysis

Analyzes Software Bills of Materials (SBOMs) for completeness against NTIA minimum elements, interprets VEX status documents, performs transitive dependency risk analysis, and detects license conflicts. Supports CycloneDX 1.5 and SPDX 2.3 formats with CSAF-based VEX correlation. Auto-invoked when SBOM files are…

UnitOneAI/SecuritySkills · 89 tokens

dependency-scanning

Analyzes project dependencies for known vulnerabilities, license risks, and supply chain integrity. Auto-invoked when package manifests (package.json, requirements.txt, go.mod, pom.xml, Cargo.toml) are shared or when discussing dependency security. Produces an SBOM assessment with CVE findings triaged by EPSS and CISA…

UnitOneAI/SecuritySkills · 83 tokens

sca-trivy

Software Composition Analysis (SCA) and container vulnerability scanning using Aqua Trivy for identifying CVE vulnerabilities in dependencies, container images, IaC misconfigurations, and license compliance risks. Use when: (1) Scanning container images and filesystems for vulnerabilities and misconfigurations, (2)…

AgentSecOps/SecOpsAgentKit · 156 tokens

container-grype

Container vulnerability scanning and dependency risk assessment using Grype with CVSS severity ratings, EPSS exploit probability, and CISA KEV indicators. Use when: (1) Scanning container images and filesystems for known vulnerabilities, (2) Integrating vulnerability scanning into CI/CD pipelines with severity…

AgentSecOps/SecOpsAgentKit · 134 tokens

sca-trivy

Software Composition Analysis (SCA) and container vulnerability scanning using Aqua Trivy for identifying CVE vulnerabilities in dependencies, container images, IaC misconfigurations, and license compliance risks. Use when: (1) Scanning container images and filesystems for vulnerabilities and misconfigurations, (2)…

rohunj/claude-build-workflow · 156 tokens

performing-container-security-scanning-with-trivy

Scan container images, filesystems, and Kubernetes manifests for vulnerabilities, misconfigurations, exposed secrets, and license compliance issues using Aqua Security Trivy with SBOM generation and CI/CD integration.

xalgorix/xalgorix · 48 tokens