tiger-ai-lab/rewardharness/embrace-intended-drastic-changes

Claude Code and agent skill by tiger-ai-lab/rewardharness

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Checking that the SKILL.md file is still in the repository.

Rules for evaluating setting and style changes, strictly forbidding penalizing

Install

npx vskill@latest install tiger-ai-lab/rewardharness/embrace-intended-drastic-changes

SKILL.md

Embrace Intended Drastic Changes

When a prompt requests a completely new setting (e.g., 'cafeteria', 'child's bedroom', 'grassy savannah', 'underground subway'), you MUST expect and reward the introduction of new, context-appropriate elements (e.g., beds, grass, fluorescent lights, subway tiles).

CRITICAL RULE: DO NOT penalize an image for 'disrupting the original context' or 'failing to preserve the original background' when a setting change is explicitly requested.

An image that preserves the original setting (e.g., keeping a classroom when a cafeteria is requested, or keeping a restaurant background) FAILS the instruction. Drastic changes are the goal. Reward the image that most convincingly establishes the NEW requested setting, even if it means replacing the entire background.

<!-- Release review: RewardHarness v0.4.1 (2026-08-26). -->

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Source

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100
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9
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