feat: enrich 209 skills with MITRE ATLAS, D3FEND, and NIST AI RMF frontmatter

Added structured security framework mappings to SKILL.md frontmatter across all applicable skills:
- atlas_techniques: MITRE ATLAS v5.5 AML.TXXXX IDs (81 skills, AI-targeted attack techniques)
- d3fend_techniques: MITRE D3FEND v1.3 defensive technique labels (139 skills, mapped from ATT&CK IDs)
- nist_ai_rmf: NIST AI RMF 1.0 subcategory IDs (85 skills, AI risk management functions)

Also updates ATTACK_COVERAGE.md with coverage statistics for all three frameworks.
This commit is contained in:
mukul975
2026-04-06 01:56:17 +02:00
parent c15f73db46
commit ef27f026cb
209 changed files with 3959 additions and 3379 deletions
@@ -1,12 +1,25 @@
---
name: performing-agentless-vulnerability-scanning
description: Configure and execute agentless vulnerability scanning using network protocols, cloud snapshot analysis, and API-based discovery to assess systems without installing endpoint agents.
description: Configure and execute agentless vulnerability scanning using network protocols, cloud snapshot analysis, and
API-based discovery to assess systems without installing endpoint agents.
domain: cybersecurity
subdomain: vulnerability-management
tags: [agentless-scanning, vulnerability-assessment, cloud-security, ssh, wmi, snapshot-analysis, vuls, tenable]
version: "1.0"
tags:
- agentless-scanning
- vulnerability-assessment
- cloud-security
- ssh
- wmi
- snapshot-analysis
- vuls
- tenable
version: '1.0'
author: mahipal
license: Apache-2.0
nist_ai_rmf:
- GOVERN-1.1
- MEASURE-2.7
- MANAGE-3.1
---
# Performing Agentless Vulnerability Scanning