agent-bom vulnerability intel
Multi-source dependency vulnerability scanning with controllable data boundaries.
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: Multi-source dependency vulnerability scanning with controllable data boundaries. Details: https://321skill.com/en/skills/agent-bom-vulnerability-intel-x-6/
This Skill addresses the challenge of comprehensively identifying dependency exposure in software supply chain security. In practice, developers often need to consult multiple vulnerability databases simultaneously, such as OSV, GitHub Security Advisories, NVD, EPSS, and CISA KEV. However, manually querying each source is highly inefficient and prone to missing critical risks. agent-bom vulnerability intel integrates these authoritative sources into a unified interface, allowing users to explicitly define data boundaries (e.g., querying only domestic sources or focusing solely on vulnerabilities with a CVSS score greater than 7). This enables precise risk identification while ensuring compliance.
Usage is straightforward: simply install the Skill in your AI environment, then use natural language instructions to specify the inspection target (e.g., a package.json file, a generated SBOM, the current project's dependency list, or the AI agent's own dependencies). It will automatically parse the input, query the selected databases in parallel, and output a summary of known vulnerabilities for each dependency, including their IDs, severity levels, remediation suggestions, and data sources. You can also set data boundaries via parameters, such as "use only NVD and CISA KEV, exclude EPSS," to meet specific audit requirements.
It is particularly suitable for teams or individuals who frequently conduct software supply chain security audits. This includes DevOps teams that have already implemented SBOM management processes, security engineers, and delivery teams that need to provide dependency security evidence to clients or regulators. Additionally, AI Agent developers and operators can use it to quickly check for known vulnerabilities in agent dependencies, preventing security incidents caused by dependency flaws.
It is recommended to integrate this tool into CI/CD pipelines as a security gate before each build. Note that it primarily relies on real-time queries to online databases; offline environments require pre-cached data. Furthermore, as update latencies vary across databases, scan results should be manually reviewed against the latest advisories to avoid misjudgments due to database synchronization delays.
Key Features
Unlike traditional scanning tools such as Trivy or Grype, agent-bom vulnerability intel allows users to explicitly define data boundaries before executing a scan (e.g., query only OSV and NVD, excluding EPSS). This enables granular control over data sources and compliance scope, rather than performing a full query across all databases.
Limitations
Requires network connectivity to access multiple vulnerability databases. The timeliness of scan results depends on the update frequency of each database. Offline environments require pre-cached data.
FAQ
What dependency list formats are supported?
It supports common formats including package.json, requirements.txt, go.mod, SBOM (CycloneDX/SPDX), and AI Agent dependency description files.
How do I configure data boundaries?
Specify via natural language, for example, "use only the NVD and CISA KEV databases" or "exclude EPSS data." The Skill will automatically filter the corresponding data sources.