Autoresearch ported to OpenCode as autonomous experiment skill

Karpathy's autoresearch idea is spreading fast, and seeing it adapted as an OpenCode skill rather than a standalone tool shows how the "agentic loop over code" pattern is becoming infrastructure-level thinking for developers.

• –Original autoresearch runs ML experiments autonomously on one GPU; this port generalizes the loop to any code optimization task inside OpenCode
• –Implementation is lean — pure markdown skill plus a TypeScript context-injection plugin, no MCP server required
• –The included demo is striking: BogoSort optimized from 15.6s to 0.002s (7,802x speedup) across 9 autonomous experiments
• –OpenCode's skills system makes this kind of "agentic workflow as markdown" composable and shareable across projects
• –Very early (28 stars, one day old) but the pattern — autonomous hypothesis/experiment/evaluate loops in your editor — is directionally significant