Black cat is a hypothesis-driven, state-machine-based penetration testing skill for Claude Code that mimics human reasoning during red team operations.

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Last updated

2026-07-30

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FR-AI / ANALYSIS

Why it is worth attention

Unlike traditional pipeline-based pentest skills, it uses a state machine with feedback loops, hypothesis-first validation, and disprove-to-generate-new-hypotheses logic, enabling adaptive and evidence-driven testing.

Who it is for

  • Penetration testers
  • Red team operators
  • Security researchers
  • Claude Code users interested in offensive security

Use cases

  • Web application penetration testing (CDN bypass, API fuzzing, GraphQL, etc.)
  • Active Directory and internal network lateral movement with OPSEC
  • Cloud environment security assessment (container escape, K8s, IAM)
  • EDR evasion and C2 obfuscation testing

Strengths

  • State machine with feedback loops allows revisiting earlier phases based on new findings
  • Hypothesis-first approach reduces blind tool usage and improves accuracy
  • Comprehensive attack surface covering Web, AD, Cloud, Database, Reverse Engineering, and Evasion
  • Engagement Tracker with Active/Confirmed/Killed states and evidence per finding

Considerations

  • Requires Claude Code environment and the skill's installation procedure
  • Dependency on external tools (e.g., nmap, sqlmap) and their proper configuration
  • Explicitly requires authorized use only; not suitable for unauthorized testing

README quick start

使用方式

Description

Claude Code RedTeam Skill — Hypothesis-Driven Cognitive Architecture。一个假设-证据驱动的红队skill

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