RAI Standards Skill
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.
Attribution and licensing posture
- NIST AI RMF 1.0 is a U.S. Government document and is reproduced here as public-domain reference material with attribution. Public-domain material carries no license obligation, so it adds no term to the package license expression.
- EU AI Act content in this skill is paraphrased and attributed rather than quoted verbatim, consistent with the open legal-text posture used in the repository. The paraphrase is this repository's own expression.
- The AI STRIDE overlay is Microsoft-authored reference material for threat-modeling reuse in the RAI workflow.
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 |
Framework index
- NIST AI RMF - Govern
- NIST AI RMF - Map
- NIST AI RMF - Measure
- NIST AI RMF - Manage
- AI STRIDE overlay
- EU AI Act overview
NIST AI RMF trustworthiness characteristics
| 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 |
Phase-to-framework mapping
| 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 |
Customer extension pattern
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.
Open-standards catalog
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.
1---2name: rai-standards3description: 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 mapping4license: CC-BY-4.05---6
7# RAI Standards Skill
8
9This 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.
10
11## Attribution and licensing posture
12
13- NIST AI RMF 1.0 is a U.S. Government document and is reproduced here as public-domain reference material with attribution. Public-domain material carries no license obligation, so it adds no term to the package license expression.
14- EU AI Act content in this skill is paraphrased and attributed rather than quoted verbatim, consistent with the open legal-text posture used in the repository. The paraphrase is this repository's own expression.
15- The AI STRIDE overlay is Microsoft-authored reference material for threat-modeling reuse in the RAI workflow.
16
17Every file in this package is therefore governed by the repository-original license. The table records the source each file draws on.
18
19| Path | License | Origin |
20|------------------------------------------|-----------|---------------------------------------------------|
21| `references/nist-ai-rmf-govern.md` | CC-BY-4.0 | Adapted from NIST AI RMF 1.0 (public domain) |
22| `references/nist-ai-rmf-map.md` | CC-BY-4.0 | Adapted from NIST AI RMF 1.0 (public domain) |
23| `references/nist-ai-rmf-measure.md` | CC-BY-4.0 | Adapted from NIST AI RMF 1.0 (public domain) |
24| `references/nist-ai-rmf-manage.md` | CC-BY-4.0 | Adapted from NIST AI RMF 1.0 (public domain) |
25| `references/eu-ai-act.md` | CC-BY-4.0 | Paraphrase of EU AI Act 2024/1689, not reproduced |
26| `references/ai-stride-overlay.md` | CC-BY-4.0 | Repository-original |
27| `SKILL.md` and remaining package content | CC-BY-4.0 | Repository-original |
28
29## Framework index
30
31- [NIST AI RMF - Govern](references/nist-ai-rmf-govern.md)
32- [NIST AI RMF - Map](references/nist-ai-rmf-map.md)
33- [NIST AI RMF - Measure](references/nist-ai-rmf-measure.md)
34- [NIST AI RMF - Manage](references/nist-ai-rmf-manage.md)
35- [AI STRIDE overlay](references/ai-stride-overlay.md)
36- [EU AI Act overview](references/eu-ai-act.md)
37
38## NIST AI RMF trustworthiness characteristics
39
40| Key | Characteristic | Description |
41|--------------------------|--------------------------------|--------------------------------------------------------------------|
42| validReliable | Valid and Reliable | Base characteristic for correctness, robustness, and stability |
43| safe | Safe | Safety and harm prevention under normal and adversarial conditions |
44| secureResilient | Secure and Resilient | Resistance to attack, misuse, and failure |
45| accountableTransparent | Accountable and Transparent | Governance, auditability, and decision provenance |
46| explainableInterpretable | Explainable and Interpretable | Understandability of model behavior and outputs |
47| privacyEnhanced | Privacy-Enhanced | Protection of personal data and confidentiality |
48| fairBiasManaged | Fair with Harmful Bias Managed | Bias detection, mitigation, and equitable outcomes |
49
50## Phase-to-framework mapping
51
52| RAI phase | Primary standards package | Notes |
53|---------------------------------|--------------------------------|------------------------------------------------------------|
54| Phase 1 Scoping | NIST AI RMF Govern + Map | Context, purpose, stakeholders, and policy framing |
55| Phase 2 Risk Classification | NIST AI RMF Govern | Governance culture, DEI&A, and stakeholder engagement |
56| Phase 3 Standards Mapping | NIST AI RMF Govern + Measure | Core standards mapping and TEVV alignment |
57| Phase 4 Security Model Analysis | AI STRIDE overlay + Measure | Threat modeling and overlap with security analysis |
58| Phase 5 Impact Assessment | NIST AI RMF Manage | Risk prioritization, mitigation, and monitoring |
59| Phase 6 Review and Handoff | NIST AI RMF Manage + EU AI Act | Regulatory review, incident response, and evidence handoff |
60
61## Customer extension pattern
62
63The 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.
64
65## Open-standards catalog
66
67Use 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.
68
69- NIST AI RMF 1.0: https://doi.org/10.6028/NIST.AI.100-1
70- EUR-Lex EU AI Act: https://eur-lex.europa.eu/eli/reg/2024/1689
71- ISO/IEC 42001 (AI management systems): https://www.iso.org/standard/81230.html
72- ISO/IEC 23894 (AI risk management): https://www.iso.org/standard/77304.html
73- ISO/IEC 42005 (AI impact assessment): https://www.iso.org/standard/88144.html
Microsoft