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.
npx agentmods add skills/romiluz13/cc-teams/debugging-patternsnpx skills add romiluz13/cc-teams --skill debugging-patternsgit clone --depth 1 https://github.com/romiluz13/cc-teamsWhat 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 | $0.00019 | $0.04161 |
| Opus 5 | $0.00010 | $0.02080 |
| Sonnet 5 | $0.00004 | $0.00832 |
| Haiku 4.5 | $0.00002 | $0.00416 |
Grade A, and why
debugging-patterns 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 537 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Systematic Debugging
Overview
Random fixes waste time and create new bugs. Quick patches mask underlying issues.
Core principle: ALWAYS find root cause before attempting fixes. Symptom fixes are failure.
Violating the letter of this process is violating the spirit of debugging.
The Iron Law
NO FIXES WITHOUT ROOT CAUSE INVESTIGATION FIRST
If you haven't completed Phase 1, you cannot propose fixes.
Quick Five-Step Process (Reference Pattern)
For rapid debugging, use this concise flow:
1. Capture error message and stack trace
2. Identify reproduction steps
3. Isolate the failure location
4. Implement minimal fix
5. Verify solution works
Debugging techniques:
- Analyze error messages and logs
- Check recent code changes
- Form and test hypotheses
- Add strategic debug logging
- Inspect variable states
Root Cause Tracing Technique:
1. Observe symptom - Where does error manifest?
2. Find immediate cause - Which code produces the error?
3. Ask "What called this?" - Map call chain upward
4. Keep tracing up - Follow invalid data backward
5. Find original trigger - Where did problem actually start?
Never fix solely where errors appear—trace to the original trigger.
LSP-Powered Root Cause Tracing
Use LSP to trace execution flow systematically:
| Debugging Need | LSP Tool | Usage |
|---|---|---|
| "Where is this function defined?" | lspGotoDefinition |
Jump to source |
| "What calls this function?" | lspCallHierarchy(incoming) |
Trace callers up |
| "What does this function call?" | lspCallHierarchy(outgoing) |
Trace callees down |
| "All usages of this variable?" | lspFindReferences |
Find all access points |
Systematic Call Chain Tracing:
1. localSearchCode("errorFunction") → get file + lineHint
2. lspGotoDefinition(lineHint=N) → see implementation
3. lspCallHierarchy(incoming, lineHint=N) → who calls this?
4. For each caller: lspCallHierarchy(incoming) → trace up
5. Continue until you find the root cause
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.
- 2d ago First seen · 537 lines · 19 tokens per session scan A 51b5f1315e56
debugging-patterns is a skill published in the GitHub repository romiluz13/cc-teams (5 stars, last pushed 4mo ago), licensed MIT. It adds 19 tokens to every session and 4,161 once invoked, about $0.0001 per session on Opus 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.
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