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train-with-environments

Train models with verifiers environments using hosted RL or prime-rl. Use when asked to configure RL runs, tune key hyperparameters, diagnose instability, set up difficulty filtering and oversampling, or create practical train and eval loops for new environments.

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
3,915
Hot score
99
Updated
March 20, 2026
Overall rating
C4.0
Composite score
4.0
Best-practice grade
A92.0

Install command

npx @skill-hub/cli install primeintellect-ai-verifiers-train-with-environments

Repository

PrimeIntellect-ai/verifiers

Skill path: skills/train-with-environments

Train models with verifiers environments using hosted RL or prime-rl. Use when asked to configure RL runs, tune key hyperparameters, diagnose instability, set up difficulty filtering and oversampling, or create practical train and eval loops for new environments.

Open repository

Best for

Primary workflow: Ship Full Stack.

Technical facets: Full Stack.

Target audience: Development teams looking for install-ready agent workflows..

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: PrimeIntellect-ai.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install train-with-environments into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/PrimeIntellect-ai/verifiers before adding train-with-environments to shared team environments
  • Use train-with-environments for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

train-with-environments | SkillHub