quality-critic

Threat modeling validation identifies fabrications, conceptual gaps, and unsupported assumptions across all stages—system understanding, data flow, threat identification, risk assessment, mitigation, and final report. The Skill applies adversarial critique to enumerate 2-3+ issues per stage with explicit source citations, ensuring rigor and traceability.

Adversarial validation systematically challenges outputs and assumptions to uncover hidden flaws before deployment. For threat modeling, it ensures your analysis isn't built on fabrications or conceptual errors by demanding evidence, alternatives, and cross-stage consistency—reducing risk of missed threats.

Yes. The Skill validates across all threat modeling stages including data flow analysis and risk assessment. It identifies inconsistencies between stages, questions unsupported assumptions, and generates critiques with actionable remediation notes in Markdown and JSON formats per stage.

Activate Critic Review mode to evaluate stage outputs and produce formal critiques. The Skill generates Markdown and JSON artifacts with explicit source citations for each stage, ensuring every finding is traceable and remediation notes are actionable.

If outputs show exceptional quality, the Skill provides a 200+ word justification explaining why fewer than 2-3 issues were found, demonstrating rigor rather than absence of critique. This ensures accountability in validation even when quality is high.

The Skill applies adversarial validation to stage outputs and referenced sources regardless of origin. It works within the threat modeling workflow—validating system understanding, data flow, threat identification, risk assessment, and mitigation outputs for consistency and evidence.