agent-bom vulnerability intel
One-click vulnerability risk scanning for 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: One-click vulnerability risk scanning for software dependencies and SBOMs Details: https://321skill.com/en/skills/agent-bom-vulnerability-intel-x-4/
This Skill addresses the security risks introduced by third-party components in software development. In practice, project dependencies, container images, and SBOM manifests can harbor numerous known vulnerabilities. Manually checking multiple databases (OSV, NVD, GitHub Security Advisories, etc.) is time-consuming and prone to oversight. agent-bom vulnerability intel automatically aggregates this information, quickly identifying imminent or already exposed vulnerabilities, helping teams uncover security risks early in the development cycle.
Usage is straightforward: simply run the agent-bom command in the terminal and specify the target to inspect (e.g., package.json, an SBOM file, or the agent inventory). It supports defining the scope of data sources via command-line arguments or a configuration file (e.g., querying only CISA KEV or high EPSS-score vulnerabilities) and can output results in JSON, CSV, or tabular format. You can then use natural language prompts to query specific vulnerability details, affected scope, and recommended fixed versions.
It is well-suited for teams or individuals needing to secure their software supply chain, especially those already implementing SBOM management, performing container image scanning, or requiring compliance with standards like OWASP Top 10 or CISA KEV. For projects using CI/CD pipelines, it can also be integrated into the build process to automatically block builds containing high-risk vulnerabilities.
We recommend using this tool consistently early in the development cycle (e.g., when dependencies are introduced) and before release. Note that it primarily relies on public vulnerability databases and may not cover undisclosed 0-days or private vulnerabilities. It is advisable to combine it with other security tools (like SAST or IAST) for a layered defense. Also, scanning large SBOM files may require significant time; selecting data sources as needed can help balance speed and accuracy.
Key Features
Compared to tools like Trivy and Grype, agent-bom supports querying five data sources—OSV, GitHub Security Advisories, NVD, EPSS, and CISA KEV—in a single scan. It also allows users to reduce noise and improve the hit rate for actionable vulnerabilities by explicitly defining data boundaries (e.g., querying only vulnerabilities with an EPSS score > 0.9).
Limitations
Requires Python 3.8+ environment. Some data sources (e.g., NVD) require network connectivity. Performance may degrade when scanning SBOMs with over 100,000 records.
FAQ
What types of files does agent-bom support scanning?
It supports common dependency manifests such as package.json, requirements.txt, go.mod, SBOMs (SPDX, CycloneDX formats), and container image manifests.
How do I update the vulnerability database?
agent-bom automatically fetches the latest vulnerability data from its sources on each run. You can also force an update of the local cache using the `--update-cache` parameter.