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Fable-Mode Skill File Trains AI Agents to Verify Before Claiming Success

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A developer has published a behavioral skill file called 'fable-mode' designed to make AI coding agents like Claude Code and Codex more disciplined and honest in their outputs. The skill file, stored locally and loaded into agent sessions, does not add new capabilities but instead enforces stricter habits around verification, scope, and reporting. Its core rule distinguishes between 'confirmed' results — where the agent actually ran and observed an outcome — and merely 'plausible' ones, requiring agents to report only the confidence level they have genuinely earned. The file also bans specific anti-patterns such as declaring success without a post-change verification run or fixing a bug the agent cannot causally explain. A built-in checklist prompts the agent to self-audit before ending any session, aiming to reduce overconfident summaries and unrequested code changes.

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Fable-Mode Skill File Trains AI Agents to Verify Before Claiming Success · ShortSingh