---

name: cli-ops summary: "Operate rLLM setup, model/provider config, project scaffolds, agent registry, view, and snapshots." description: "Use rLLM CLI operations for model/provider setup, UI login, project scaffolding, agent/evaluator registration, result viewing, and sandbox snapshot management." disable-model-invocation: true metadata: disco-role: operating license: Apache 2.0

rLLM CLI Operations

Use this sub-skill for support commands around the core eval/data/training workflows: rllm model, rllm login, rllm init, rllm agent, rllm view, and rllm snapshot.

Start Here

1. Read root references/cli-command-map.md to identify the command owner.
2. Read references/workflows.md for provider setup, scaffold/registry, viewing, and snapshot workflows.
3. Read references/troubleshooting.md for config, login, registry, viewer, and snapshot failures.
4. Switch to ../evaluation/SKILL.md, ../datasets/SKILL.md, or ../training/SKILL.md when the task moves from setup into execution.

Safe Check

python scripts/inspect_cli_state.py

The helper reads rLLM home config/registry files and prints a redacted summary. It does not modify state or validate remote credentials.

Avoid

• Do not store raw API keys in generated examples, logs, or reports.
• Do not overwrite scaffold output directories unless the user explicitly accepts it.
• Do not build or destroy snapshots without confirming the target backend and benchmark slice.