计划执行与检查节点
executing-plans
按既定实施计划完成工作,保持过程检查和反馈。
nist-ai-rmf-expert【效率与协作】NIST AI 100-1 (AI RMF 1.0) expert. Stub-depth framework plugin that routes to the SCF crosswalk. Level up by adding framework-specific context, assessment workflow, and evidence patterns.
独立 GitHub 快照 · 自动分类 · 以原作者文档为准
Stub-depth expertise for NIST AI 100-1 (AI RMF 1.0). This plugin is scaffolded from the SCF crosswalk (158 SCF controls map to 91 framework controls) and defers to /grc-engineer:gap-assessment for the actual compliance check.
general-nist-100-1-ai-rmfAI RMF is an outcomes framework, not a control catalog and not a certification. It organizes outcomes as Function → Category → Subcategory across four functions — GOVERN, MAP, MEASURE, MANAGE — applied across the AI system lifecycle. Subcategories describe desired risk-management outcomes; they do not prescribe specific controls. Concrete controls come from the SCF crosswalk: 158 SCF controls map to 91 AI RMF subcategories, referenced by subcategory ID (e.g. GOVERN 1.1, MAP 2.3), never by paraphrased prose.
Common failure modes when working with this framework: treating AI RMF as a control catalog to "implement", confusing the four functions with maturity levels, and mapping to subcategory prose instead of subcategory IDs.
TODO: replace with framework-specific overview. Minimum sections for Reference-depth upgrade:
All commands in this plugin route through /grc-engineer:gap-assessment with framework ID general-nist-100-1-ai-rmf. Reference-depth plugins add:
evidence-checklist — framework-native evidence by control familyscope — applicability determination for the organizationFull-depth plugins add framework-specific workflow commands (examples in sibling plugins like soc2, fedramp-rev5, pci-dss).
See the Framework Plugin Guide for the Stub → Reference → Full progression checklist.