SKILL.md
Prime CLI
Use this skill when the user asks about the Prime Intellect CLI, Lab, verifiers environments, evaluations, or hosted training.
Quick Flow
- Read local docs: AGENTS.md and environments/AGENTS.md in the workspace.
- Identify which action is needed: setup, environment init or install, evaluation, or RL run.
- Run the minimal prime subcommand and report results concisely.
Common Commands
~~~~text prime --version prime login prime lab setup
prime env init <env-name> prime env install <env-name-or-hub-id> prime env push --path ./environments/<env-name>
prime eval run <env-name-or-hub-id> -m <model> prime eval tui
prime rl models prime rl run <config.toml> ~~~~
Workspace Conventions
- prime lab setup creates configs/, environments/, and top-level AGENTS.md.
- Environment modules expose load_environment and live under ./environments/<env-name>/.
- Evaluation outputs go under ./outputs or ./environments/<env-name>/outputs when configured.
Tips
- If the user mentions a specific model, verify availability with prime rl models.
- For custom endpoints, point to configs/endpoints.py.
- Keep responses short and list the exact commands used.
Examples
- 'Initialize a new environment called math-probe' -> prime env init math-probe
- 'Run an eval on my env using gpt-5-nano' -> prime eval run my-env -m gpt-5-nano
- 'Start a hosted RL run' -> prime rl run configs/<run>.toml
References
- AGENTS.md (workspace root)
- environments/AGENTS.md