mukul975/anthropic-cybersecurity-skills

performing-threat-emulation-with-atomic-red-team

Executes Atomic Red Team tests for MITRE ATT&CK technique validation using the atomic-operator Python framework. Loads test definitions from YAML atomics, runs attack simulations, and validates detection coverage. Use when testing SIEM detection rules, validating EDR coverage, or conducting purple team exercises. '

First seen Mar 15, 2026

Installation

$ npx skills add mukul975/anthropic-cybersecurity-skills --skill performing-threat-emulation-with-atomic-red-team

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Repository health

Stars 32.4K
License LICENSE
Default branch main
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Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

Version1.0
LicenseApache-2.0

Package contents

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  • skill md SKILL.md 2,543 B
  • docs SUMMARY.md 371 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 80 installs

SKILL.md

Performing Threat Emulation with Atomic Red Team

When to Use

  • When conducting security assessments that involve performing threat emulation with atomic red team
  • When following incident response procedures for related security events
  • When performing scheduled security testing or auditing activities
  • When validating security controls through hands-on testing

Prerequisites

  • Familiarity with threat intelligence concepts and tools
  • Access to a test or lab environment for safe execution
  • Python 3.8+ with required dependencies installed
  • Appropriate authorization for any testing activities

Instructions

Use atomic-operator to execute Atomic Red Team tests and validate detection coverage against MITRE ATT&CK techniques.

from atomic_operator import AtomicOperator

operator = AtomicOperator()
# Run a specific technique test
operator.run(
    technique="T1059.001",  # PowerShell execution
    atomics_path="./atomic-red-team/atomics",
)

Key workflow:

  1. Clone the atomic-red-team repository for test definitions
  2. Select ATT&CK techniques matching your detection rules
  3. Execute atomic tests using atomic-operator
  4. Check SIEM/EDR for corresponding alerts
  5. Document detection gaps and update rules

Examples

# Parse atomic test YAML definitions
import yaml
with open("atomics/T1059.001/T1059.001.yaml") as f:
    tests = yaml.safe_load(f)
for test in tests.get("atomic_tests", []):
    print(f"Test: {test['name']}")
    print(f"  Platforms: {test.get('supported_platforms', [])}")