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Zen-Ai-Pentest

Zen-Ai-Pentest enthält 6 gesammelte Skills von SHAdd0WTAka, mit Repository-Berufsabdeckung und Skill-Detailseiten auf SkillsMP.

gesammelte Skills
6
Stars
413
aktualisiert
2026-06-25
Forks
73
Berufsabdeckung
4 Berufskategorien · 100% klassifiziert
Repository-Explorer

Skills in diesem Repository

poc-validator
Informationssicherheitsanalysten

Proof-of-Concept (PoC) Validation Skill for security exploit verification. Use when validating exploitability of vulnerabilities, generating tailored payloads, executing exploits in sandboxed environments, or verifying successful exploitation (e.g., SQL injection, CVE exploitation, command injection). Triggers on tasks involving payload generation, exploit execution verification, sandboxed testing, or confirmation of administrative access/data exfiltration after exploitation attempts.

2026-06-25
workflow-orchestrator
Informationssicherheitsanalysten

Module Loop and Iteration Skill for orchestrating multi-phase penetration testing workflows. Use when coordinating sequential tool execution, managing dependencies between reconnaissance and vulnerability scanning modules, implementing adaptive fallback strategies, or managing workflow state across iterations. Triggers on tasks requiring dependency chaining (e.g., Nmap results feeding into Nuclei), adaptive workflow adjustments based on results, or stateful iteration management to avoid redundant scans.

2026-06-25
autonomous-tdd-agent
Softwareentwickler

Autonomous Test-Driven Development Agent workflow for implementing features without human intervention. Use this skill when: - Implementing new features from failing tests - Fixing broken test suites - Creating production-ready code with test coverage - Working in TDD mode with minimal guidance The skill provides a 6-step autonomous loop: analyze tests → implement → predict → iterate → refactor → summarize. Works with any Python project using pytest.

2026-03-20
full-project-test-runner
Softwarequalitätssicherungsanalysten und -tester

Comprehensive test runner for entire Python projects. Use when: - Running all tests in a project - Discovering untested files - Generating coverage reports - Finding gaps in test coverage - Testing all modules systematically Works with pytest and generates detailed reports.

2026-03-20
research-orchestrator
Marktforschungsanalysten und Marketingspezialisten

Parallel research with 4 specialized agents (Official, Practical, Edge Cases, Future)

2026-03-19
tdd-agent
Softwareentwickler

Autonomous test-driven development agent that writes code to make tests pass

2026-03-19