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red-team-testing

red-team-testingSafety 90Repository

Adversarial testing methodology to identify safety failures in AI systems.

0 stars
1.2k downloads
Updated 2/11/2026

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SKILL.md

Red Team Testing

Category: Health & Safety EU AI Act Reference: Art. 9, Art. 15 Source: methodology

When to Use This Skill

Use this skill when:

  • Red Team Testing tasks - Working on adversarial testing methodology to identify safety failures in ai systems
  • Compliance assessment - Evaluating AI systems against Art. 9, Art. 15 requirements
  • Risk mitigation - Implementing controls for health & safety risks

Overview

Adversarial testing methodology to identify safety failures in AI systems. Design attack scenarios, probe model boundaries, test guardrails, and document vulnerabilities.

Key Requirements

Regulatory Context (Art. 9, Art. 15)

This tool supports compliance with the following EU AI Act requirements:

  1. Assessment - Evaluate current state against Art. 9, Art. 15 requirements
  2. Implementation - Deploy appropriate controls and measures
  3. Documentation - Record findings, decisions, and evidence
  4. Monitoring - Establish ongoing monitoring and review processes

Assessment Checklist

  • Identify applicable Art. 9, Art. 15 requirements
  • Assess current compliance status
  • Document gaps and findings
  • Develop remediation plan
  • Implement required controls
  • Verify effectiveness of measures
  • Maintain ongoing documentation

Integration Notes

Source Type: methodology Category: Health & Safety

Install

Download ZIP
Requires askill CLI v1.0+

AI Quality Score

52/100Analyzed 2/20/2026

A reference-style skill document for AI red team testing methodology with good structure and regulatory context (EU AI Act Art. 9, 15). Includes when-to-use guidance, overview, requirements, and checklists. However, lacks actionable step-by-step procedures, concrete testing techniques, or command examples - making it more of a policy/compliance reference than an executable skill. Tags support discoverability. Score reflects high clarity and safety but limited actionability due to abstract guidance.

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Metadata

Licenseunknown
Version-
Updated2/11/2026
PublisherDTMC-marketplace

Tags

ci-cdobservabilitysecuritytesting