Optimizing Claude Code: A Diagnostic Tool for Autonomous AI Engineering

I Built a Health Check CLI for Claude Code. My Setup Scored 63 on the First Run.

Yurukusa developed a diagnostic tool for Claude Code after running the system autonomously for over 200 hours. The initial scan revealed a score of only 63/100, exposing critical blind spots in context window monitoring and error tracking.

Why This Matters

While Claude Code’s hook system is theoretically powerful, its implementation in settings.json is often invisible, leading developers to overestimate the robustness of their autonomous setups. This gap between perceived and actual performance creates risks where AI agents silently lose memory or ignore execution errors, highlighting the need for automated validation over manual checklists.

Key Insights

• Context window degradation: AI agents can silently lose memory without active monitoring, necessitating PostToolUse hooks that alert at specific usage thresholds like 85% or 95%.
• Safety Guard deficiencies: Many setups lack PreToolUse hooks to block destructive bash commands such as ‘rm -rf’ or ‘git reset —hard’.
• The cc-health-check tool: A zero-dependency CLI written in approximately 300 lines of Node.js that scans local configuration files like settings.json and CLAUDE.md.
• Autonomous recovery patterns: Implementing watchdog timers and loop detection prevents the AI from hanging or entering infinite cycles during unattended execution.

Working Examples

Command to run the health check diagnostic via npx.

npx cc-health-check

Running the diagnostic tool directly from the source code.

node cli.mjs

Practical Applications

• Use case: Implementing a PostToolUse hook to log activity in JSONL format for audit trails. Pitfall: Over-reliance on manual configuration without verification, leading to blind spots in error tracking.
• Use case: Setting up error-aware gates to block external API calls when local build errors exist. Pitfall: Hardcoding API keys in CLAUDE.md files, which creates significant security vulnerabilities.

References:

• https://dev.to/yurukusa/i-built-a-health-check-cli-for-claude-code-my-setup-scored-63-on-the-first-run-2glb
• https://github.com/yurukusa/cc-health-check
• https://yurukusa.github.io/cc-health-check