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Run a 5-dimensional quality assessment (Clarity/Conciseness/Actionability/Consistency/Minimal-slop) on any LLM prompt / document (markdown, YAML, JSON, TOML) and iteratively refine it until the target score is reached. The default target score is 90, which can be overridden using the target_score parameter (e.g., target_score=95). This is used when users want to validate and improve the quality of LLM-facing prompts, instructions, or skills.