debugging

A step-by-step method for finding and fixing software bugs. It starts by reproducing the problem, tracing the code, testing a specific explanation, and checking that the fix works.

In plain words
What is it for?
Use it to investigate error messages and stack traces, create minimal reproductions, inspect recent changes, add targeted logging, identify root causes, and verify fixes.
Why use it?
It replaces guesswork with evidence and helps distinguish code errors from timing, environment, or input-specific problems.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/furkangonel/cowrangler/debugging
Any agent
npx skills add furkangonel/cowrangler --skill debugging
Clone the repo
git clone --depth 1 https://github.com/furkangonel/cowrangler

Made for: Claude Code, Codex.

Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 754 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00019 $0.00754
Opus 5 $0.00010 $0.00377
Sonnet 5 $0.00004 $0.00151
Haiku 4.5 $0.00002 $0.00075

Measured 2d ago against content hash 0e47e95d2b6e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 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.

bundled_skills/debugging/SKILL.md · 116 lines

How it starts

The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Debugging SOP

The Scientific Method for Bugs

Step 1 — Understand the Symptom

  • Read the error message / stack trace carefully (every line)
  • Identify: What was expected? What actually happened?
  • Note: When does it occur? Always, or only sometimes?
  • Check: Is this a regression? When did it last work?

Step 2 — Reproduce the Bug

# Can you reproduce it reliably?
# If not, it may be:
# - Race condition (timing-dependent)
# - Environment-specific (env vars, OS, versions)
# - Data-dependent (specific inputs trigger it)
  • Reduce to the minimal reproduction case
  • Confirm the reproduction before investigating
  • Check if it reproduces in a fresh environment

Step 3 — Read the Code

  • Locate the exact file and function from the stack trace
  • Trace the execution path from input → failure point
  • Look at what changed recently: git log --since="3 days ago" -- <file>

Step 4 — Form a Hypothesis

State your hypothesis explicitly:

"I think the bug is caused by X because Y"

Then check what evidence would confirm or disprove it.

Step 5 — Verify the Hypothesis

Add targeted logging to confirm:

console.log("[DEBUG]", { variableName, type: typeof variableName });

Or use the debugger:

node --inspect-brk dist/main.js  # Attach Chrome DevTools

Step 6 — Fix

  • Make the minimal change that fixes the root cause
  • Do NOT fix symptoms — fix root causes
  • Do NOT refactor while fixing (separate concerns)

Step 7 — Verify the Fix

# Run existing tests
npm test

# Confirm the original reproduction no longer fails
# Add a regression test to prevent recurrence

Common Bug Patterns

Async/Await Issues

// WRONG — Promise not awaited
const data = fetchData();  // returns Promise, not data
console.log(data.name);    // undefined!

// CORRECT
const data = await fetchData();

Off-by-One

  • Array indices: arr[arr.length] is undefined, arr[arr.length - 1] is last
  • Loop boundaries: < length vs <= length

Read the full file on GitHub · 116 lines

Changes

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.

  1. 2d ago First seen · 116 lines · 19 tokens per session scan A 0e47e95d2b6e

Subscribe to this mod's changes

debugging is a skill published in the GitHub repository furkangonel/cowrangler (2 stars, last pushed 4d ago), licensed MIT. It adds 19 tokens to every session and 754 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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