academic-research-comp…
Guide a research project through the full academic lifecycle — from raw idea to concrete research question, literature grounding,…
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.
Claude Code
$ npx -y skills add GRCEngClub/claude-grc-engineering --skill nist-ai-rmf-expert --agent claude-code
Codex
$ npx skills add GRCEngClub/claude-grc-engineering --skill nist-ai-rmf-expert -a codex -y
Cursor
$ npx skills add GRCEngClub/claude-grc-engineering --skill nist-ai-rmf-expert -a cursor -y
Gemini CLI
$ npx skills add GRCEngClub/claude-grc-engineering --skill nist-ai-rmf-expert -a gemini-cli -y
GitHub Copilot
$ npx skills add GRCEngClub/claude-grc-engineering --skill nist-ai-rmf-expert -a github-copilot -y
OpenCode
$ npx skills add GRCEngClub/claude-grc-engineering --skill nist-ai-rmf-expert -a opencode -y
Windsurf
$ npx skills add GRCEngClub/claude-grc-engineering --skill nist-ai-rmf-expert -a windsurf -y
name: nist-ai-rmf-expert description: 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. allowed-tools: Read, Glob, Grep
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.
AI 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:
Full-depth plugins add framework-specific workflow commands (examples in sibling plugins like `soc2`, `fedramp-rev5`, `pci-dss`).
See the [Framework Plugin Guide](../../../../../docs/FRAMEWORK-PLUGIN-GUIDE.md) for the Stub → Reference → Full progression checklist.
Open-source GRC Engineering resource for Claude. claude-grc-engineering turns technical evidence from cloud, SaaS, code, and security tools into framework-aligned findings, gap reports, remediation guidance, evidence packages, and OSCAL workflows.
Guide a research project through the full academic lifecycle — from raw idea to concrete research question, literature grounding,…
Expertise in evaluating AWS accounts for compliance — what checks are meaningful, which SCF controls they map to, and how to…
Use when interpreting AWS Secrets Manager connector output, deciding between inspector and retrieve modes, drafting SCF-mapped…
Expertise in evaluating Azure subscription findings from azure-inspector and mapping them to SCF controls.
Interpret CrowdStrike Falcon findings for sensor coverage, policy visibility, and host group scoping.
Interpret datadog-inspector findings and translate Datadog monitoring, audit, log-retention, SSO, and RBAC results into GRC…
Use for authorized security assessment of REST, GraphQL, WebSocket, or SOAP APIs, including discovery, authentication,…
Extract and decrypt Windows DPAPI-protected secrets (Credential Manager, browser logins/cookies, Wi-Fi credentials, KeePass keys)…
Clean and finalize authorized natural-language text intended for readers by auditing suspicious invisible Unicode and rewriting…