What problem does it solve?
Native desktop automation fails when agents replay unsafe actions, switch tools mid-task, or act on stale targets. This Skill defines strict operating rules for the computer_use tool so clicks, typing, and captures stay deterministic and recoverable.
Core Features & Use Cases
- Scoped Targeting: Enforces one app-scoped capture with an exact list_apps name, eliminating parallel discovery and ambiguous window selection.
- Token-Bound Actions: Governs target_id and token lifecycles per generation, with explicit rules for stale refusals, target_gone, and lease expiry.
- Delivery Mode Escalation: Starts with delivery_mode=auto and permits foreground delivery only after fresh evidence and structured recommendations.
- Use Case: When automating a native desktop app, follow these rules to click a button once, verify the driver_verdict, and escalate to Take over instead of blindly retrying after repeated stale refusals.
Quick Start
Use the computer use guide to click the Save button in the currently running desktop application and verify the result.