rl-task-audit

What problem does it solve?

This Skill helps you inspect a reinforcement-learning repository, understand the experiment surface, and decide what planning or contract work should happen next without accidentally starting training.

Core Features & Use Cases

• Repository Audit: Identifies the task, commands, reward signals, terminations, curriculum, domain randomization, logging, and metrics in an RL codebase.
• Planning Handoff: Routes work to metric definition, experiment contract creation, or baseline planning when the user is ready for the next step.
• Safety Guardrails: Preserves user intent, verifies commands against the live repository, and avoids launching simulators or training from the audit stage.
• Use Case: A researcher asks for a quick assessment of a new RL repo, and this Skill organizes the task context so the team can define metrics and launch rules confidently.

Quick Start

Use the rl-task-audit skill to analyze the target repository, summarize the RL task and experiment surface, and recommend the appropriate next planning step.