red-team

Audit course objectives against five adversarial dimensions and output a confidence score.

25|7|Updated Mar 30, 2026
One-click install
npx skills add https://github.com/savvides/idstack --skill red-team-savvides
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: red-team
Source: https://github.com/savvides/idstack/tree/main/red-team
Command: npx skills add https://github.com/savvides/idstack --skill red-team-savvides

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Adversarial course design audit across five dimensions—alignment stress test, evidence verification, cognitive load analysis, learner persona simulation, and prerequisite chain integrity—produces a confidence score that helps identify structural weaknesses early and guide remediation.

Core Features & Use Cases

  • Comprehensive adversarial evaluation across alignment, evidence, cognitive load, personas, and prerequisites.
  • Works standalone or reads from the idstack project manifest to inform the audit.
  • Outputs a consolidated red-team audit with a confidence score and actionable findings for stakeholders.
  • Suitable for course designers, ID specialists, and QA teams to validate constructs before deployment.

Quick Start

Run /red-team to start the adversarial audit against your course manifest and export results to .idstack/project.json.

Frequently Asked Questions about red-team

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

FAQPage Schema
How do I run an adversarial audit on course design to expose objective and assessment misalignment?

An adversarial course design audit challenges every objective-assessment pair across five dimensions: alignment, evidence, cognitive load, learner personas, and prerequisite chain integrity, producing a consolidated confidence score to identify structural weaknesses.

What is cognitive load analysis in course quality assurance?

Cognitive load analysis in course quality assurance evaluates whether the instructional design overwhelms the learner by simulating learner personas and stress-testing the prerequisite chain integrity within the course manifest.

How do I verify evidence alignment in a course manifest before deployment?

Evidence verification in a course manifest involves adversarially challenging objective-assessment pairs to ensure the assessments actually produce valid evidence of learning, which is then compiled into a structured red-team audit report.

Can I audit course prerequisites and learner personas without external dependencies?

Yes, the adversarial audit works standalone or reads directly from the idstack project manifest to simulate learner personas and validate prerequisite chains without requiring external dependencies.

What is the best way to calculate a confidence score for instructional design quality assurance?

The best way to calculate a quality assurance confidence score is applying an adversarial red-team evaluation across alignment, evidence, cognitive load, personas, and prerequisites to expose hidden flaws and guide remediation.

How do I export red-team audit findings for project traceability and governance?

You export red-team audit findings by writing the structured audit report, including the consolidated confidence score and actionable findings, directly to the .idstack/project.json manifest for stakeholder traceability.