Use Amics from a coding agent

The agent stays in the local repository where it can edit, test, compare results, and commit. Amics handles one bounded remote command at a time.

Recommended setup

1. Install the standalone amics CLI and run amics login.
2. Install the Amics agent skill.
3. Ask the agent to inspect the live GPU options and choose for the workload.
4. Approve an explicit maximum hourly price, runtime, and optional warm window.
5. Let the agent run the command and inspect the durable result.

Use the Amics skill to compare live GPU options for this training command.
Do not acquire compute yet. I need at least 24 GB VRAM for about 30 minutes.

After reviewing the agent's choice:

Approved up to $1.50/hour for a 30-minute command.
Run `uv run train.py`, keep the machine warm for at most 10 minutes,
and stop if the run becomes unknown.

What the skill teaches

• GPU options are read-only; choosing and acquiring are separate decisions.
• Non-interactive runs need explicit price and runtime bounds.
• Source snapshots exclude common secrets and never replace the local tree.
• Environment values are forwarded only when named with --env.
• Auto-acquired compute stops by default; warm reuse is a bounded lease.
• Interrupted or ambiguous runs are inspected, never replayed automatically.

Agent boundary

Agents stay local, forward only explicitly named workload environment values, keep GPU selection separate from spend approval, and pause for a replay decision when an unknown run may already have executed.