Mission: regularly post-train the greatest open cyber models around — red (bug bounty web2/web3, pentest, appsec) + blue (SOC, CTI, devsecops) — via an environment fleet + verified-trajectory factory + weekly refresh loop, on Qwen-class bases, shipped as fast local GGUF/MLX builds.
Doctrine (validated by 6 advisor + 4 competitor-dossier agents, 2026-11-02):
trajectories = fleet ∧ teacher, training = data ∧ eval ∧ GPU, RL = SFT warm-start).| Stream | What | Status |
|---|---|---|
| A — Dataset triage | sweep 1,205+ HF cyber datasets, lineage-collapse, tier-ordered deep dives | 🟡 sweeping |
| B — Competitor dossiers | Bugcrowd ✅ HTB ✅ CyberFactory ✅ Landscape ✅ Primus ✅ XBOW ✅ CyberSOCEval ✅ UK AISI ✅ | 🟢 8/8 done |
| C — Explainers | 12-title terminology library, Karpathy-style | 🟢 12/12 done |
| D — Fleet | vulhub farm · dojo · EVM asserts · AgentDojo · k8s-goat · procedural generator · purple loop · held-out eval | 🟢 8 families scaffolded, selftests green (docker runtime pending) |
| E — Wiki + site | this vault → site/ → Cloudflare Pages | 🟢 LIVE at cyber-factory.pages.dev |
| F — Eval harness | TB 4.0, CyberGym-E2E, ExploitBench, BountyBench, CVE-Bench, Garak, blue eval, decontam | ⚪ queued |
| G — Data | buy-list pulls + ARVO/OSS-Fuzz instance rebuild (CyberFactory-from-spec) | ⚪ queued |
| stream | pending | in progress | done |
|---|---|---|---|
| A | 0 | 0 | 15 |
| all | 0 | 0 | 15 |
See RESULTS.md — one row per model release, delta vs baselines (CyberTiel / CyberStrike / base Qwen).