Consolidated Responsible AI standards reference: NIST AI RMF 1.0, AI STRIDE threat-modeling overlay, EU AI Act risk tiers, and an open-standards catalog with phase mapping
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This skill is the reusable standards package for the RAI Planner. It consolidates the embedded NIST AI RMF content, the AI STRIDE threat-modeling overlay, and a paraphrased EU AI Act reference so the phase playbook can stay focused on workflow and orchestration.
Every file in this package is therefore governed by the repository-original license. The table records the source each file draws on.
| Path | License | Origin |
|---|---|---|
references/nist-ai-rmf-govern.md | CC-BY-4.0 | Adapted from NIST AI RMF 1.0 (public domain) |
references/nist-ai-rmf-map.md | CC-BY-4.0 | Adapted from NIST AI RMF 1.0 (public domain) |
references/nist-ai-rmf-measure.md | CC-BY-4.0 | Adapted from NIST AI RMF 1.0 (public domain) |
references/nist-ai-rmf-manage.md | CC-BY-4.0 | Adapted from NIST AI RMF 1.0 (public domain) |
references/eu-ai-act.md | CC-BY-4.0 | Paraphrase of EU AI Act 2024/1689, not reproduced |
references/ai-stride-overlay.md | CC-BY-4.0 | Repository-original |
SKILL.md and remaining package content | CC-BY-4.0 | Repository-original |
| Key | Characteristic | Description |
|---|---|---|
| validReliable | Valid and Reliable | Base characteristic for correctness, robustness, and stability |
| safe | Safe | Safety and harm prevention under normal and adversarial conditions |
| secureResilient | Secure and Resilient | Resistance to attack, misuse, and failure |
| accountableTransparent | Accountable and Transparent | Governance, auditability, and decision provenance |
| explainableInterpretable | Explainable and Interpretable | Understandability of model behavior and outputs |
| privacyEnhanced | Privacy-Enhanced | Protection of personal data and confidentiality |
| fairBiasManaged | Fair with Harmful Bias Managed | Bias detection, mitigation, and equitable outcomes |
| RAI phase | Primary standards package | Notes |
|---|---|---|
| Phase 1 Scoping | NIST AI RMF Govern + Map | Context, purpose, stakeholders, and policy framing |
| Phase 2 Risk Classification | NIST AI RMF Govern | Governance culture, DEI&A, and stakeholder engagement |
| Phase 3 Standards Mapping | NIST AI RMF Govern + Measure | Core standards mapping and TEVV alignment |
| Phase 4 Security Model Analysis | AI STRIDE overlay + Measure | Threat modeling and overlap with security analysis |
| Phase 5 Impact Assessment | NIST AI RMF Manage | Risk prioritization, mitigation, and monitoring |
| Phase 6 Review and Handoff | NIST AI RMF Manage + EU AI Act | Regulatory review, incident response, and evidence handoff |
The default framework remains NIST AI RMF 1.0. When a customer supplies an additional framework, preserve the default NIST mapping as a baseline and layer the custom framework on top with explicit attribution. This keeps the planner interoperable while allowing organizations to add ISO, sector, or regional references without rewriting the core playbook.
Use the links below as the reference catalog for open standards and governance resources. Do not reproduce normative text verbatim when the license posture does not allow it.
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Consolidated accessibility skill entrypoint for WCAG 2.2, ARIA Authoring Practices, cognitive accessibility, Section 508, EN 301 549, design intent verification, and the Accessibility Planner workflow.
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Build, refresh, report, or probe an accessibility coverage matrix across criteria, surfaces, and evidence methods. Use when assessing coverage with the accessibility runtime harness and generated evidence bundle.
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Authoring skill for Architecture Decision Records (ADRs) supporting capture, from-planner-handoff, and adopt-template entry modes with selectable Y-Statement or MADR v4.0.0 output templates, supersession lineage, and ASR trigger evaluation.
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Authoring conventions for exploratory data analysis notebooks and analytical dashboards, covering section sequence, visualization selection, scale thresholds, caching and state, and dashboard validation budgets. Use when composing or reviewing an EDA notebook, an analytical dashboard, or a dashboard test pass.
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Architecture diagram authoring for cloud infrastructure and declared data catalogs. Use when rendering Azure IaC or DS_CATALOG_V1 relationships as caller-selected ASCII or Mermaid diagrams.
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Create a durable Architecture Review Record from a confirmed System Architecture Reviewer scope, evidence, pillar analysis, trade-offs, and dispositions
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