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agent-bom vulnerability intel

AI Agent Dependency Vulnerability Scanning and Intelligence Aggregation Tool

Install & Use

Copy this prompt and send it to your AI assistant (Claude / Cursor / TRAE / Codex / WorkBuddy etc.) to auto-install:

Help me install this AI Skill: agent-bom vulnerability intel.
It is used for: AI Agent Dependency Vulnerability Scanning and Intelligence Aggregation Tool
Details: https://321skill.com/en/skills/agent-bom-vulnerability-intel-x-5/

This Skill addresses the pain point for developers in AI agent projects who need to check the security exposure of dependency packages, SBOMs, component inventories, and the agent's own dependencies. In practice, teams often need to query multiple vulnerability databases simultaneously, such as OSV, GitHub Security Advisories, NVD, EPSS, and CISA KEV. Manual cross-referencing is time-consuming and prone to oversight. agent-bom performs multi-source scanning through a unified entry point in a single operation and supports explicit data boundary selection to ensure compliance and privacy.

Usage is straightforward: simply run the installation command in your terminal, then directly issue a command in the AI conversation like, "Scan all dependencies in the current project's package.json for known vulnerabilities and compare NVD and EPSS scores." It automatically parses the SBOM or dependency manifest in the project, calls your specified vulnerability sources, and generates a structured risk report containing key information such as CVE IDs, severity levels, and remediation advice. You can set data boundaries via parameters (e.g., using only OSV or only NVD) to avoid unnecessary data leakage.

It is well-suited for agent development teams, backend developers, and operations engineers who need to conduct security audits for AI Agent applications. Particularly for projects that have already integrated dependency management into their CI/CD pipelines, agent-bom can be seamlessly embedded into automated workflows, automatically checking newly introduced dependencies for known vulnerabilities before each build and outputting highly readable reports for team decision-making.

It is recommended to use this tool uniformly during project initialization or after each dependency update. Note that it primarily focuses on querying public vulnerability databases; custom vulnerabilities for internal private components require additional configuration of local rules. Also, since it requires an internet connection to fetch the latest vulnerability intelligence, complete results may not be available in offline environments.

Key Features

Unlike traditional dependency scanning tools such as Snyk or Trivy, agent-bom is designed specifically for AI agent scenarios. It supports explicit data boundary selection (e.g., querying only OSV or only NVD) and can directly analyze the dependency exposure of AI Agents, rather than just scanning standard application packages.

Limitations

Currently, it primarily supports dependency manifest parsing for npm/pip ecosystems. Support for formats like Maven and NuGet requires plugin extensions. Additionally, each scan must query vulnerability databases online; it cannot be used in offline scenarios.

FAQ

Which vulnerability databases does agent-bom support?

It supports OSV (Open Source Vulnerability), GitHub Security Advisories, NVD (National Vulnerability Database), EPSS (Exploit Prediction Scoring System), and CISA KEV (Known Exploited Vulnerabilities Catalog). Users can freely choose which sources to enable.

How do I configure data boundaries?

Specify them via command-line parameters or options in the AI instruction. For example, `--data-boundary osv,nvd` indicates using only OSV and NVD, preventing data from being sent to other platforms.