Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/bernierllc/agents-environment-configWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/rules/bernierllc/agents-environment-config/debugging)<a href="https://agentmods.dev/rules/bernierllc/agents-environment-config/debugging"><img src="https://agentmods.dev/badge/rules/bernierllc/agents-environment-config/debugging/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/rules/bernierllc/agents-environment-config/debugging"><img src="https://agentmods.dev/badge/rules/bernierllc/agents-environment-config/debugging.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00007 | $0.00471 |
| Opus 5.5 | $0.00003 | $0.00188 |
| Sonnet 5.5 | $0.00001 | $0.00094 |
| Haiku 4.5 | $0.00001 | $0.00047 |
Grade A, and why
debugging scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Troubleshooting Standards
Error Investigation
Browser Errors
When a browser error is shared (console or copied):
- Check logs: Refer to
./logs/frontend.logfor frontend errors - Check console: Review browser console for errors
- Check network: Review network tab for failed requests
- Reproduce: Attempt to reproduce the error locally
Frontend Logs
- Check
logs/frontend.logfor detailed error information - Review error stack traces
- Check for related errors around the same time
- Look for patterns in error messages
Debugging Workflow
1. Reproduce the Issue
- Reproduce locally if possible
- Check if issue is environment-specific
- Verify steps to reproduce
2. Gather Information
- Error messages and stack traces
- Browser console logs
- Network request logs
- Server logs (if applicable)
- User actions leading to error
3. Investigate Root Cause
- Check code changes related to error
- Review recent deployments
- Check database state
- Verify environment configuration
4. Fix and Verify
- Implement fix
- Test fix locally
- Verify fix in staging
- Monitor production after deployment
Common Issues
Frontend Errors
- Check
logs/frontend.logfirst - Review browser console
- Check network requests
- Verify API responses
Backend Errors
- Check server logs
- Review database logs
- Check API endpoint logs
- Verify error handling
Database Issues
- Check connection status
- Review query logs
- Verify migrations
- Check database state
Debugging Tools
Frontend
- Browser DevTools
- React DevTools
- Network tab
- Console logs
Backend
- Server logs
- Database logs
- API logs
- Error tracking (Sentry, etc.)
References
- Error Handling: See
topics/quality/error-handling.mdc - Logging: See
topics/quality/logging.mdc - Observability: See
topics/observability/monitoring.mdc
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 88 lines · 7 tokens per session scan A 5d83657fc888
debugging is a cursor rule published in the GitHub repository bernierllc/agents-environment-config (11 stars, last pushed today), licensed MIT. It adds 7 tokens to every session and 471 once invoked, about $0.0000 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other cursor rules, from other repositories
error-learning
A rule for recording errors, root-cause analyses, and bug fixes in project notes. RCA means finding the underlying reason a problem happened.
error-handling-and-validation
A code-quality guide for handling errors, invalid inputs, edge cases, preconditions, logging, and user-friendly error messages.
css-render-blocking-diagnosis
Cursor rule "css-render-blocking-diagnosis" from adobecom/da-express-milo, covering css render-blocking diagnosis & resolution, critical learning from 98 pagespeed achievement, primary diagnostic protocol, step 1: css blocking symptom recognition and step 2: css loading sequence audit.
javascript-expert-performance
Profile first. Measure before and after. Never optimize without data.
kiss-ponytail
Ponytail, lazy senior dev mode. Always pick the simplest solution that works.
5-bug-finder
APPLY WHEN investigating a bug.