agent-bom vulnerability intel
A vulnerability intelligence tool for inspecting software dependencies and SBOMs
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: A vulnerability intelligence tool for inspecting software dependencies and SBOMs Details: https://321skill.com/en/skills/agent-bom-vulnerability-intel-x-2/
This Skill addresses a key pain point for developers in software supply chain security: the potential for unknown vulnerabilities hidden within a project's numerous open-source components, third-party libraries, and generated SBOMs (Software Bill of Materials). Manually checking multiple vulnerability databases (OSV, NVD, GitHub Security Advisories, EPSS, CISA KEV) is time-consuming and prone to oversight. agent-bom vulnerability intel consolidates multiple authoritative vulnerability sources into a single tool, automatically compares dependencies against known vulnerabilities, and allows users to explicitly define data boundaries to prevent sensitive information leakage.
Usage is straightforward. Simply run the agent-bom scan command in your project directory, or instruct your AI assistant via natural language to invoke the tool. It automatically parses project dependency files like package.json and requirements.txt, or directly reads an existing SBOM (e.g., in CycloneDX format). It then queries multiple databases including OSV, GitHub Security Advisories, and NVD, finally outputting a clear report containing vulnerability severity, affected scope, and remediation suggestions. You can also use the --data-boundary parameter to specify using only local cache or specific sources, controlling data flow.
It's ideal for backend developers, DevOps engineers, and security testers who need to ensure software supply chain security. This is particularly valuable for teams integrating dependency checks into CI/CD pipelines or enterprise projects needing to meet compliance requirements (like CISA KEV). For projects using AI Agents for automated development, this Skill also helps the agent automatically assess risks when introducing new dependencies.
We recommend consistently using this tool within the project development lifecycle, such as running a scan before each build or code merge. Note that it primarily relies on external APIs, thus requiring a network connection. For large projects, scan times may be longer; configuring a cache strategy in CI environments is advised. Additionally, while the data boundary feature is practical, please configure it appropriately based on actual security requirements to avoid false negatives due to overly restrictive settings.
Key Features
Compared to similar tools like Trivy and Grype, agent-bom not only integrates OSV, NVD, and GitHub Security Advisories, but also uniquely incorporates EPSS (Exploit Prediction Scoring System) and CISA KEV (Known Exploited Vulnerabilities Catalog). Furthermore, it provides explicit data boundary selection (e.g., use only local cache or specified sources), allowing users to finely control the query scope for sensitive dependencies.
Limitations
Requires Python 3.8+ environment and depends on external APIs (OSV, NVD, etc.). Scanning large monorepo projects may be time-consuming due to numerous network requests; configuring result caching in CI is recommended to reduce duplicate queries.
FAQ
What dependency formats does agent-bom support?
It supports common formats like package.json, requirements.txt, go.mod, pom.xml, and also supports directly importing SBOM files in CycloneDX or SPDX format.
What does data boundary selection specifically refer to?
You can use the `--data-boundary` parameter to specify using only a locally cached vulnerability database, querying only OSV, or querying only NVD, etc. This prevents sending project dependency information to unnecessary sources, helping meet privacy and compliance requirements.