Advanced Guardrails: - prompt-injection-detector.sh (PreToolUse) - output-validator.sh (PostToolUse heuristics) - claudemd-scanner.sh (SessionStart injection detection) - output-secrets-scanner.sh (PostToolUse secrets leak prevention) Observability & Monitoring: - session-logger.sh (JSONL activity logging) - session-stats.sh (cost tracking & analysis) - guide/observability.md (full documentation) LLM-as-a-Judge Evaluation: - output-evaluator.md agent (Haiku) - /validate-changes command - pre-commit-evaluator.sh (opt-in git hook) Google Agent Whitepaper Integration: - Context Triage Guide (Section 2.2.4) - CLAUDE.md Injection Warning (Section 3.1.3) - Agent Validation Checklist (Section 4.2.4) - MCP Security: Tool Shadowing & Confused Deputy (Section 8.6) - Session vs Memory patterns (Section 3.3.3) Stats: 10 new files, 8 modified, 5 new guide sections Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> |
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| llms.txt | ||
| README.md | ||
| reference.yaml | ||
Machine-Readable References
Files optimized for LLM/AI consumption.
Contents
| File | Description | Tokens |
|---|---|---|
| reference.yaml | Structured index with line numbers for deep dives | ~2K |
| llms.txt | Standard LLM context file for repository indexation | ~1.5K |
Usage
Give Claude Code instant expertise
# Paste into any AI assistant
curl -sL https://raw.githubusercontent.com/FlorianBruniaux/claude-code-ultimate-guide/main/machine-readable/reference.yaml
Reference in Claude Code
@machine-readable/reference.yaml
Add to system prompts
Include the YAML content in your AI assistant's system prompt for Claude Code expertise.
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