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bitterpillengineering

Audits any AI instruction set for over-prompting using the core test: would a smarter model make this rule unnecessary? Applies Five Questions to every rule — Does Claude already do this? Contradiction? Redundant? One-off fix? Vague? — then classifies each as CUT / RESOLVE / MERGE / EVALUATE / SHARPEN / MOVE / KEEP. Two workflows: Audit (full system — reads all force-loaded files from settings.json, reports token savings estimate) and QuickCheck (single file, fast keep/cut/sharpen verdict). Outputs categorized report with estimated line and token savings. Core principle: less scaffolding = better output — every unnecessary rule competes for attention and degrades the rules that matter. Anti-fragile rules to KEEP: verification harnesses, ISC, data pipelines, specific DO/DON'T examples, tool preferences, routing rules. Fragile rules to CUT: CoT orchestrators, format parsers, retry cascades, numeric personality scales, abstract value statements. Requires loadAtStartup and postCompactRestore.fullFiles to stay in

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Source facts

Repository
danielmiessler/Personal_AI_Infrastructure
Last source activity
May 1, 2026 at 21:11
Detected SKILL.md language
English
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15,967
Forks
2,205

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