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0x-Professor

44 skills 396 estrelas no total GitHub ↗

Skills publicadas

Mostrando 12 de 44

pentest-social-engineer

9

Design phishing and social engineering simulations with explicit authorization and measurable outcomes.

Desenvolvimento #ai #test por 0x-Professor

pentest-auth-bypass

9

Test authentication and session management controls for bypass and account takeover scenarios.

Desenvolvimento #ai #test por 0x-Professor

pentest-c2-operator

9

Set up authorized C2 simulation workflows and measure defensive detection outcomes.

Automação #ai #test por 0x-Professor

web-auth-integrator

9

Integrate authentication and authorization flows with provider-specific setup and RBAC safeguards.

Desenvolvimento #ai #test por 0x-Professor

web-api-tester

9

Test API endpoints for correctness, edge cases, auth handling, and OpenAPI contract compliance.

Automação #ai #api por 0x-Professor

pentest-mobile-auditor

9

Assess mobile applications with static and dynamic analysis aligned to OWASP MASTG and MASVS.

Segurança #ai #test por 0x-Professor

ml-experiment-tracker

9

Plan reproducible ML experiment runs with explicit parameters, metrics, and artifacts. Use before model training to standardize tracking-ready experiment definitions.

Desenvolvimento #ai #test por 0x-Professor

pentest-network-scanner

9

Actively enumerate in-scope hosts and services, then produce normalized network mapping artifacts.

Desenvolvimento #ai #test por 0x-Professor

agentic-mcp-server-builder

9

Scaffold MCP server projects and baseline tool contract checks. Use for defining tool schemas, generating starter server layouts, and validating MCP-ready structure.

Design e Frontend #ai #mcp por 0x-Professor

web-frontend-tester

9

Run frontend functional, accessibility, visual, and performance test planning with structured reports.

Desenvolvimento #ai #test por 0x-Professor

agentic-workflow-automation

9

Generate reusable multi-step agent workflow blueprints. Use for trigger/action orchestration, deterministic workflow definitions, and automation handoff artifacts.

Automação #ai #test por 0x-Professor

ml-model-eval-benchmark

9

Compare model candidates using weighted metrics and deterministic ranking outputs. Use for benchmark leaderboards and model promotion decisions.

Desenvolvimento #ai #test por 0x-Professor