AI & Machine Learning

I scored 492 public CLAUDE.md files against a 12-rule baseline. Median: 3/12.

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A Python linter named cc-audit has been developed to score CLAUDE.md files against twelve behavioral rules, revealing that the median compliance among 492 public GitHub files is only 3 out of 12. This matters because it highlights significant gaps in how AI coding agents are instructed and can lead to inefficiencies for developers relying on these tools. Developers should consider implementing the top four missed rules to significantly improve agent performance.

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I scored 492 public CLAUDE.md files against a 12-rule baseline. Median: 3/12.

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