菜单
Implement Amazon Macie to automatically discover, classify, and protect sensitive data in S3 buckets using machine learning and pattern matching for PII, financial data, and credentials detection.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/nexuslinkproductions/yuri-os --skill cyber-implementing-aws-macie-for-data-classification命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
[LAB-GATED; discovery is not runtime authorization; offensive/dual-use — authorized-lab gate] Extract DPAPI-protected secrets such as credentials and browser data offline and online.
[LAB-GATED; discovery is not runtime authorization; offensive/dual-use — authorized-lab gate] Take over Active Directory user and computer accounts by writing alternate certificate keys to msDS-KeyCredentialLink (Shadow Credentials) with pyWhisker, Whisker, and Certipy, then authenticate via PKINIT.
>- Prepare a defense-contractor environment for CMMC Level 2 certification: scope CUI and FCI, implement the 110 NIST SP 800-171 Rev 2 security requirements across 14 families, compute the SPRS score with the DoD Assessment Methodology, manage a compliant POA&M, and ready the organization for a C3PAO assessment. Use when an organization handles Controlled Unclassified Information (CUI) under a DoD
基于 SOC 职业分类
正在显示 SKILL.md
| name | cyber-implementing-aws-macie-for-data-classification |
| description | Implement Amazon Macie to automatically discover, classify, and protect sensitive data in S3 buckets using machine learning and pattern matching for PII, financial data, and credentials detection. |
| hide | true |
Authoritative source: .claude/skills/cyber-implementing-aws-macie-for-data-classification/SKILL.md
Authoritative source SHA-256: 9cf4ea9b699dfedb0429d19a8bdc640b5ea71faf36ff0389f6a5d30ff0b44f08
Source class: cyber-armed
Before acting, read the authoritative source file above completely from beginning to end. If the governed source is absent, run node _SYSTEM/Scripts/skill-recall.mjs --show cyber-implementing-aws-macie-for-data-classification and read its complete verified output. Follow that source as the skill body; this adapter is a non-authoritative metadata-and-pointer projection.