What problem does it solve?
This Skill ensures AI-generated work is executed safely and reproducibly by applying typed artifacts, running only explicitly requested commands, and producing auditable execution results with no guessing.
Core Features & Use Cases
- Probe-mode command execution: Runs
probe_commands from probe-output.json, captures stdout/stderr, and writes probe-results.json without applying any file changes.
- Implementation-mode change application: Applies
planned_changes and runs execution_handoff.test_commands only after the Probe Gate passes, then writes execution-results.json.
- Strict input validation and fail-loud behavior: Refuses to run when required inputs are missing or invalid, records failures with reasons, and stops rather than continuing after planned-change failure.
Quick Start
Run the Executor after the Engineer stage to produce probe-results.json in probe mode or execution-results.json in implementation mode, using the session worktree and the required upstream artifacts.