agentic-rl

How to Evaluate Agent Skills: Frameworks, Benchmarks, and What Actually Matters

New frameworks and benchmarks finally make agent skill quality measurable. Here's a practical playbook for scoring and evolving your own skills — and why how you organize them changes runtime behavior.

06/12/2026 · Model Evaluation · 7 min read

How Agent Environments Are Standardizing: OpenEnv, AGENTS.md, and Automation-as-Code

In a single week, three signals — OpenEnv, the AGENTS.md convention, and browser automations-as-code — pointed the same direction: AI agent infrastructure is converging on shared standards. Here's a practitioner's map of the emerging stack.

06/09/2026 · Research · 9 min read

Agentic RL Explained: What OpenEnv Means for Training AI Agents

Agentic RL trains AI agents by letting them act in environments and learn from outcomes. OpenEnv, backed by Hugging Face, PyTorch, Nvidia and more, gives open source the shared training substrate frontier labs already had.

06/09/2026 · Research · 10 min read