Expand the README with: how to run the per-language benchmarks and the latest
measured results (C/C++ 93.3%, Python 93.3%, JavaScript 92.3%, Java 100%;
overall 93.6% recall, 0% false positives); the OpenCode skills, the ultra
(OpenUltraCode) fix lifecycle, and fusion deepening; how a false positive is
eliminated via the evidence-ladder verifier and scoped calibration; how a false
negative becomes a benchmark calibration record routed to a next-improvement
candidate; and how the HarnessX self-improving cycle is realized. Maturity is
marked (implemented / primitive / roadmap) to stay accurate to the current gate.
Co-Authored-By: Claude Opus 4.8 <[email protected]>
