ReddRadar
Agent skill
uloop-replay-input
Replay recorded input during PlayMode with frame-precise injection. Use when you need to: (1) Reproduce recorded gameplay exactly, (2) Run E2E tests from recorded input, (3) Generate demo videos with consistent input.
Install this agent skill to your Project
npx add-skill https://github.com/hatayama/unity-cli-loop/tree/main/Packages/src/Editor/Api/McpTools/ReplayInput/Skill
SKILL.md
uloop replay-input
Replay recorded keyboard and mouse input during PlayMode. Loads a JSON recording and injects input frame-by-frame via Input System with zero CLI overhead. Supports looping and progress monitoring.
Usage
# Start replay (auto-detect latest recording)
uloop replay-input --action Start
# Start replay with specific file
uloop replay-input --action Start --input-path scripts/my-play.json
# Start replay with looping
uloop replay-input --action Start --loop true
# Check replay progress
uloop replay-input --action Status
# Stop replay
uloop replay-input --action Stop
Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
--action |
enum | Start |
Start, Stop, Status |
--input-path |
string | auto | JSON path. Auto-detects latest in .uloop/outputs/InputRecordings/ |
--show-overlay |
boolean | true |
Show replay progress overlay |
--loop |
boolean | false |
Loop continuously |
Deterministic Replay
Replay injects the exact same input frame-by-frame, but the game must also be deterministic to produce identical results. See the "Design Guidelines for Deterministic Replay" section in the record-input skill for the full list of patterns to avoid (Time.deltaTime, Random.Range, physics, etc.) and their deterministic alternatives.
Output
Returns JSON with:
Success: Whether the operation succeededMessage: Status messageInputPath: Path to recording file (Start only)CurrentFrame: Current replay frameTotalFrames: Total frames in recordingProgress: Replay progress (0.0 - 1.0)IsReplaying: Whether replay is active
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