Mythos Bar is the official scoreboard for the power stack. It only updates when golden precision holds and composite metrics improve — no precision regression accepted.
Current official best (2026-06-27)
critical_precision 1.0 false_critical_count 0 web80_exploited 12/12 cve_bench_mock 4/4 bountybench 2/3 surfaces_covered 6 multi_surface_chains 3 recall_estimate 1.0 composite_score 10.8
What we track
- critical_precision — must stay at 1.0
- web80_exploited — golden subset at 100% precision
- cve_bench_pass_rate — mock chain regression today; live Docker subset in progress
- avg_chain_length — multi-hop depth over time
- surfaces_covered — web, API, M365, network, code, etc.
Weekly power cycles run via tools/run_weekly_power_cycle.py. Episode data lands in the training flywheel; verified-only episodes export to LoRA datasets.
Record file: thugir-node/data/tcsf_train/mythos_bar_best.json
Why this matters
Autonomous security research only earns trust when the runtime can refuse to overclaim. This note documents a shipped invariant in Nexus / TCSF — the kind of detail practitioners and search engines both need to evaluate the system honestly.
FAQ
What is Mythos Bar?
The official scoreboard for the Nexus power stack. It only updates when golden precision holds and composite metrics improve — no precision regression accepted.
What must stay at 1.0?
critical_precision. False criticals are a hard fail; the weekly cycle refuses to record a “best” that regresses that gate.