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Apply STRIDE methodology to systematically identify threats. Use when analyzing system security, conducting threat modeling sessions, or creating security documentation.
--- name: stride-analysis-patterns-39f0c5694253 description: "Apply STRIDE methodology to systematically identify threats. Use when analyzing system security, conducting threat modeling sessions, or creating security documentation." risk: unknown source: community date_added: "2026-02-27" --- # 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-INTEGRATION-START --> ## 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 <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 "<your-agent>" \ --action "Completed architecture review — ADR documented, trade-offs analyzed, team aligned" \ --project <project> ``` ### Control Tower Coordination Register architecture tasks in the Control Tower so all agents across machines know the current system design and constraints. <!-- AGI-INTEGRATION-END -->--- name: stride-analysis-patterns-39f0c5694253 description: "Apply STRIDE methodology to systematically identify threats. Use when analyzing system security, conducting threat modeling sessions, or creating security documentation." risk: unknown source: community date_added: "2026-02-27" --- # 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-INTEGRATION-START --> ## 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 <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 "<your-agent>" \ --action "Completed architecture review — ADR documented, trade-offs analyzed, team aligned" \ --project <project> ``` ### Control Tower Coordination Register architecture tasks in the Control Tower so all agents across machines know the current system design and constraints. <!-- AGI-INTEGRATION-END -->
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