Developer Builds Four-Layer Config to Enforce Claude Code Behavior Beyond Suggestions

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A developer frustrated with Claude Code ignoring instructions in his CLAUDE.md file built a structured four-layer configuration system to enforce consistent AI behavior. The setup ranges from soft guidelines in CLAUDE.md and reference documents to versioned skill playbooks loaded on demand for specific tasks. The critical layer is a shell script called guard.sh, which hooks into Claude Code's PreToolUse cycle to intercept and veto forbidden actions — such as reading .env files or bypassing git hooks — before they execute. Unlike the first three layers, which the model can read and ignore, the guardrail exits with code 2 to hard-block violations. The author's core principle is that only externally verifiable proof — a test, a command, real output — counts as rigor, never the model's own self-assessment.

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