# Stride Analysis Patterns > Apply STRIDE methodology to systematically identify threats. Use when analyzing system security, conducting threat modeling sessions, or creating security documentation. Use when this capability is needed. - Skill: `tomevault-io/stride-analysis-patterns-3` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add tomevault-io/stride-analysis-patterns-3` - Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/stride-analysis-patterns-3/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: AI & ML - Author: tomevault-io (https://skillmd.com/u/tomevault-io) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/tomevault-io/stride-analysis-patterns-3 --- # STRIDE Analysis Patterns Systematic threat identification using the STRIDE methodology. ## Use this skill when - Starting new threat modeling sessions - Analyzing existing system architecture - Reviewing security design decisions - Creating threat documentation - Training teams on threat identification - Compliance and audit preparation ## Do not use this skill when - The task is unrelated to stride analysis patterns - You need a different domain or tool outside this scope ## Instructions - Clarify goals, constraints, and required inputs. - Apply relevant best practices and validate outcomes. - Provide actionable steps and verification. - If detailed examples are required, open `resources/implementation-playbook.md`. ## Resources - `resources/implementation-playbook.md` for detailed patterns and examples. --- ## AGI Framework Integration > **Adapted for [@techwavedev/agi-agent-kit](https://www.npmjs.com/package/@techwavedev/agi-agent-kit)** > Original source: [antigravity-awesome-skills](https://github.com/sickn33/antigravity-awesome-skills) ### Memory-First Protocol Retrieve prior Architecture Decision Records (ADRs), trade-off analyses, and system design rationale. Critical for maintaining consistency across long-running projects. ```bash # Check for prior architecture/design context before starting python3 execution/memory_manager.py auto --query "architecture decisions and trade-off analysis for Stride Analysis Patterns" ``` ### Storing Results After completing work, store architecture/design decisions for future sessions: ```bash python3 execution/memory_manager.py store \ --content "Architecture: event-driven microservices with CQRS, Pulsar for messaging, Qdrant for semantic search" \ --type decision --project \ --tags stride-analysis-patterns architecture ``` ### Multi-Agent Collaboration Broadcast architecture decisions to ALL agents so implementation stays aligned with the chosen patterns. ```bash python3 execution/cross_agent_context.py store \ --agent "" \ --action "Completed architecture review — ADR documented, trade-offs analyzed, team aligned" \ --project ``` ### Control Tower Coordination Register architecture tasks in the Control Tower so all agents across machines know the current system design and constraints. --- > Converted and distributed by [TomeVault](https://tomevault.io/claim/techwavedev) — claim your Tome and manage your conversions.