Methodology · Wild GitHub
ai-safe2-secure-build-copilot
Apply the AI SAFE2 v3.0 framework (161 controls across 5 pillars plus CP.1-CP.10 Cross-Pillar Governance) to design, build, audit, and govern AI agents, agentic workflows, RAG systems, MCP servers,…
Composite
C 4.9 · A 2.3
How we got there
1 source verified
- Best source
github:SKILL.md - Authority tier Tier 3 — Wild GitHub
- Source link https://github.com/CyberStrategyInstitute/ai-safe2-framework/blob/4394079122a871021a3328220591cc2d50527f86/skills/SKILL.md ↗
- First published 2026-05-22
Use this skill
/plugin install ai-safe2-secure-build-copilotTasks this skill helps with
More in Methodology
claude-api
Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration.
prompt-engineering
Universal prompt engineering techniques for any LLM.
github-swyxio-ai-notes
notes for software engineers getting up to speed on new AI developments.
mcp-builder
Builds production MCP servers via 4-phase methodology: research, implement, test, evaluate. Triggers: build MCP, new MCP, MCP integration, MCP server scaffold.
Auto-indexed. Editorial review pending — score is based on the rubric only.