vex

作者: microsoft

OpenVEX v0.2.0 规范参考及VEX管理手册 - 由microsoft/hve-core提供。

npx skills add https://github.com/microsoft/hve-core --skill vex

VEX skill

This skill is the entrypoint for VEX operations in hve-core. It combines the OpenVEX v0.2.0 specification reference with reusable management playbooks for implementing, reviewing, and validating VEX documents. The normative reference material below remains the authoritative source for schema, status logic, and public-source guidance.

VEX management playbooks

Detection, drafting, and attestation are workflow-owned automation. This skill supplies the reusable procedures, mutation rules, and review criteria. The CVE Analyzer subagent performs the per-CVE exploitability analysis that feeds those workflows.

Implement VEX in a target project

Use this playbook when standing up VEX in a target project. Scaffold the VEX document under security/vex, wire the vex-detect and vex-draft workflows, reference the PR-body scaffold in assets/pr-body-scaffold.yml, connect the dedicated reusable VEX attestation workflow for provenance and OpenVEX-over-SBOM attestation, and set CODEOWNERS on the VEX document. Use references/vex-status-logic.md and the vex-standards.instructions.md instructions for the detailed rules.

Review and validate VEX

Use this playbook when reviewing drafted VEX statements. Assess the status determination against the evidence and confidence bands, honor the document mutation and forbidden-transition contract, and validate the release attestation output. Attestation generation is owned by the dedicated reusable VEX attestation workflow, not by the reviewer. The forthcoming tested gate module and tests will live in this skill so the workflow and interactive entry points can share the same rules.

VEX statuses

StatusMeaning
not_affectedThe vulnerability is not exploitable in this product. Requires a justification or impact_statement.
affectedThe vulnerability is exploitable. Requires an action_statement describing remediation.
fixedThe vulnerability was present but has been remediated in this product version.
under_investigationThe author is evaluating whether the vulnerability affects this product. Safe default for uncertain cases.

Justification codes for not_affected

When a statement uses not_affected status, it must include a machine-readable justification:

CodeMeaning
component_not_presentThe vulnerable component is not included in the product.
vulnerable_code_not_presentThe component is present but the vulnerable code is not included.
vulnerable_code_not_in_execute_pathThe vulnerable code is present but cannot be reached at runtime.
vulnerable_code_cannot_be_controlled_by_adversaryThe code is reachable but an attacker cannot influence the inputs.
inline_mitigations_already_existExisting controls prevent exploitation of the vulnerability.

Product identifiers

Products use Package URL (PURL) format (for example, pkg:npm/@microsoft/hve-core@3.10.0).

Normative references

  1. OpenVEX JSON Schema Reference: field definitions, required versus optional fields, and example documents.
  2. VEX Status Logic: status determination decision tree, evidence requirements per status, and forbidden transitions.
  3. CVE Data Sources: OSV.dev, NVD, and GitHub Advisory Database API references with licensing posture.

Skill layout

  • SKILL.md: this file (skill entrypoint).
  • references/: normative reference documents.
    • openvex-schema.md: JSON schema reference with field definitions and examples.
    • vex-status-logic.md: status determination decision tree and forbidden transitions.
    • cve-data-sources.md: CVE data source API references and licensing.

Attribution and licensing

The OpenVEX specification reference content in this skill is derived from the OpenVEX Community specification and remains attributed to the OpenVEX Community. The reusable VEX management playbooks and the surrounding guidance in this skill are hve-core-authored content.

Licenses are allocated per file in the table below. The frontmatter expression is the conjunction of every license present in the package, so a redistributor of the whole package complies with all of them; the table states which license actually governs each file.

PathLicenseOrigin
references/openvex-schema.mdApache-2.0Derived from OpenVEX spec
references/vex-status-logic.mdApache-2.0Derived from OpenVEX spec
references/cve-data-sources.mdCC-BY-4.0hve-core-authored
SKILL.md, playbooks, and remaining package contentCC-BY-4.0hve-core-authored

Third-Party Attribution

AttributeValue
SpecificationOpenVEX Specification v0.2.0
Copyright© OpenVEX Contributors
LicenseApache License 2.0
Sourcehttps://github.com/openvex/spec/blob/main/OPENVEX-SPEC.md
ModificationsSpecification restructured into agent-consumable reference documents with added status determination logic, evidence requirements, and CVE data source guidance.

来自 microsoft 的更多技能

oss-growth
microsoft
OSS增长黑客角色
agent-framework-azure-ai-py
microsoft
使用Microsoft Agent Framework Python SDK(agent-framework-azure-ai)构建Azure AI Foundry代理。在创建使用AzureAIAgentsProvider的持久化代理、使用托管工具(代码解释器、文件搜索、网络搜索)、集成MCP服务器、管理对话线程或实现流式响应时使用。涵盖函数工具、结构化输出和多工具代理。
development
airunway-aks-setup
microsoft
在AKS上设置AI Runway——从裸集群到运行模型。涵盖集群验证、控制器安装、GPU评估、提供商设置和首次部署。适用场景:“设置AI Runway”、“接入AKS集群”、“安装AI Runway”、“airunway设置”、“将模型部署到AKS”、“在AKS上进行GPU推理”、“在AKS上配置KAITO”、“在AKS上运行LLM”、“在AKS上使用vLLM”、“在AKS上设置模型服务”、“AI Runway控制器”。
devops
appinsights-instrumentation
microsoft
使用Azure Application Insights对Web应用进行插桩的指南。提供遥测模式、SDK设置和配置参考。适用场景:如何对应用进行插桩、App Insights SDK、遥测模式、什么是App Insights、Application Insights指南、插桩示例、APM最佳实践。
devops
applicationinsights-web-ts
microsoft
使用Application Insights JavaScript SDK(@microsoft/applicationinsights-web)为浏览器/Web应用添加检测。用于真实用户监控(RUM)——页面视图、点击、AJAX/fetch依赖项、异常、自定义事件,以及与后端OpenTelemetry追踪关联的浏览器端GenAI代理追踪。涵盖SDK加载器脚本和npm设置、框架扩展(React、React Native、Angular)、点击分析、遥测初始化器,以及从浏览器发出的代理/工具/模型跨度所遵循的OTel GenAI语义约定。
devops
azure-ai-anomalydetector-java
microsoft
使用适用于 Java 的 Azure AI 异常检测器 SDK 构建异常检测应用程序。在实现单变量/多变量异常检测、时间序列分析或 AI 驱动的监控时使用。
development
azure-ai-language-conversations-py
microsoft
使用azure-ai-language-conversations Python SDK实现对话语言理解(CLU)。当使用ConversationAnalysisClient分析对话意图和实体、构建NLP功能或将语言理解集成到应用程序中时使用。
development
azure-ai-ml-py
microsoft
Azure Machine Learning SDK v2 for Python。用于机器学习工作区、作业、模型、数据集、计算资源和管道。 触发词:“azure-ai-ml”、“MLClient”、“工作区”、“模型注册表”、“训练作业”、“数据集”。
development