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DonTrabajo/README.md

Don Trabajo

Offensive security tooling with OPSEC gates. Operational workflows stay private; public repos are sanitized and CI-gated.

Start here

  • ai-redteam-lab – Local-first adversarial test harness for LLMs: 33 cases across 8 attack categories, CI-enforced OPSEC gate
  • prox-recon – Offline-first recon core (linPEAS parsing + CVE matching) with CI-enforced OPSEC gates
  • ProxOffensive-AI-MultiAgent-Lab – Local-first multi-agent red-team lab: orchestration, LLM routing, and OPSEC-first workflows
  • apt33-scythe-case-study – APT33 emulation with detections, hunting queries, and tuning notes
  • recon-audit-sample – Sample external-exposure recon audit: methodology, report structure, and a full example report

What I build

  • AI-augmented recon and triage tooling
  • Multi-agent orchestration (local LLM → cloud fallback → none)
  • Emulation planning and detection engineering
  • Client-facing audit reports and methodology docs

Public vs private

Public repos contain demos, blueprints, and detection-focused writeups. Private repos contain operational workflows, lab bindings, and environment-specific automation. Reach out if you need deeper detail.

Contact

Principles

  • Reproducible results
  • Responsible disclosure
  • Measurable outcomes
  • Minimalism

Pinned Loading

  1. ai-redteam-lab ai-redteam-lab Public

    Local-first, reproducible adversarial test harness for evaluating LLM robustness — 33 cases across 8 attack categories, CI-enforced OPSEC gate.

    Python

  2. prox-recon prox-recon Public

    Prox Recon — offline-first recon core (linPEAS parsing + CVE matching) with CI-enforced OPSEC gates. Public core of Prox Offensive's recon tooling.

    Python

  3. ProxOffensive-AI-MultiAgent-Lab ProxOffensive-AI-MultiAgent-Lab Public

    Local-first multi-agent red-team lab — orchestration, LLM routing, and OPSEC-first workflows. Sanitized architecture + demos; operational state kept private.

    Python 1

  4. apt33-scythe-case-study apt33-scythe-case-study Public

    APT33 emulation case study with detections, hunting queries, and results/tuning notes.

    Python

  5. recon-audit-sample recon-audit-sample Public

    Sample external-exposure recon audit — methodology, report structure, and a full example report (public-safe).

    HTML