adversarial-reasoning

Generate STRIDE+ threat models and rank attack paths for AI systems.

4|1|Updated Jan 19, 2026

Search Tags:#risk-assessment #threat-modeling #adversarial #red-team #security-testing #STRIDE+#blue-team

Ready to run

npx skills add https://github.com/kimasplund/claude_cognitive_reasoning --skill adversarial-reasoning

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: adversarial-reasoning
Source: https://github.com/kimasplund/claude_cognitive_reasoning/tree/main/cognitive-skills/adversarial-reasoning
Command: npx skills add https://github.com/kimasplund/claude_cognitive_reasoning --skill adversarial-reasoning

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Adversarial Reasoning provides a disciplined framework to systematically probe and break your own designs, revealing weaknesses before deployment and strengthening overall robustness.

Core Features & Use Cases

STRIDE+ threat modeling: guided enumeration of attack categories to shape defenses.
Attack-path generation & risk ranking: craft detailed breach narratives and prioritize mitigations.
Red Team / Blue Team exercises: simulate attackers and defenders to validate detections and responses.
Integration with other patterns: aligns with ToT, BoT, and HE workflows for end-to-end validation.
Edge-case discovery & pre-mortem analysis: surface non-obvious failures and preventive actions for resilient designs.

Quick Start

Start an adversarial session by defining a target and threat model, then review generated attack paths and recommended countermeasures.

Frequently Asked Questions about adversarial-reasoning

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I perform STRIDE+ threat modeling on my system architecture?▼

To perform STRIDE+ threat modeling, define your target system and threat model to systematically enumerate attack categories. This skill guides you through generating structured attack paths, ranking risks, and documenting defense strategies to harden your architecture.

What is the best way to generate and rank attack paths for security testing?▼

The best way to generate and rank attack paths is to simulate red team and blue team exercises against your design. This crafts detailed breach narratives, validates detection and response capabilities, and prioritizes mitigations based on structured risk assessments.

Can I use adversarial reasoning for pre-mortem analysis and edge-case discovery?▼

Yes, you can use adversarial reasoning for pre-mortem analysis and edge-case discovery to surface non-obvious system failures. It provides a disciplined framework to systematically probe designs, identify potential breakdowns, and define preventive actions for resilient deployments.

Does this adversarial testing framework integrate with Tree of Thoughts and Branch of Trust workflows?▼

Yes, this adversarial testing framework integrates with Tree of Thoughts (ToT), Branch of Trust (BoT), and Heuristic Evaluation (HE) workflows. It aligns with these patterns to provide end-to-end validation, ensuring robust architecture and comprehensive risk assessment.

How do I start an adversarial testing session for risk assessment?▼

To start an adversarial session for risk assessment, define your target system and establish the threat model. You then review the generated attack paths, evaluate enumerated edge cases, and implement the recommended countermeasures to validate your architecture.

When should I use red team and blue team exercises instead of standard security reviews?▼

You should use red team and blue team exercises instead of standard security reviews when you need to actively validate detection and response capabilities. This approach simulates attackers and defenders to uncover non-obvious failures and verify that documented defense strategies function under attack.