systematic-debugging

A four-step method for finding and fixing software bugs by reproducing the problem, narrowing down its source, identifying the underlying cause, and checking the fix.

In plain words
What is it for?
Use it to investigate difficult bugs, document reproduction steps, ask why a failure occurs, and verify that a change really solved the issue.
Why use it?
It reduces guesswork and helps prevent fixes that only hide the symptoms or create new 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/xenitv1/antigravity-workflows/systematic-debugging
Any agent
npx skills add xenitV1/Antigravity-Workflows --skill systematic-debugging
Clone the repo
git clone --depth 1 https://github.com/xenitV1/Antigravity-Workflows

Made for: Claude Code, Codex.

Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 610 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 89% copy Near-identical to another mod 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 $0.00025 $0.00610
Opus 5 $0.00013 $0.00305
Sonnet 5 $0.00005 $0.00122
Haiku 4.5 $0.00003 $0.00061

Measured 3d ago against content hash 53b60eed01a4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

systematic-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 3d 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.

Origin

This is a copy

89% identical to systematic-debugging — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/systematic-debugging/SKILL.md · 110 lines

How it starts

The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Systematic Debugging

Source: obra/superpowers

Overview

This skill provides a structured approach to debugging that prevents random guessing and ensures problems are properly understood before solving.

4-Phase Debugging Process

Phase 1: Reproduce

Before fixing, reliably reproduce the issue.

## Reproduction Steps
1. [Exact step to reproduce]
2. [Next step]
3. [Expected vs actual result]

## Reproduction Rate
- [ ] Always (100%)
- [ ] Often (50-90%)
- [ ] Sometimes (10-50%)
- [ ] Rare (<10%)

Phase 2: Isolate

Narrow down the source.

## Isolation Questions
- When did this start happening?
- What changed recently?
- Does it happen in all environments?
- Can we reproduce with minimal code?
- What's the smallest change that triggers it?

Phase 3: Understand

Find the root cause, not just symptoms.

## Root Cause Analysis
### The 5 Whys
1. Why: [First observation]
2. Why: [Deeper reason]
3. Why: [Still deeper]
4. Why: [Getting closer]
5. Why: [Root cause]

Phase 4: Fix & Verify

Fix and verify it's truly fixed.

## Fix Verification
- [ ] Bug no longer reproduces
- [ ] Related functionality still works
- [ ] No new issues introduced
- [ ] Test added to prevent regression

Debugging Checklist

## Before Starting
- [ ] Can reproduce consistently
- [ ] Have minimal reproduction case
- [ ] Understand expected behavior

## During Investigation
- [ ] Check recent changes (git log)
- [ ] Check logs for errors
- [ ] Add logging if needed
- [ ] Use debugger/breakpoints

## After Fix
- [ ] Root cause documented
- [ ] Fix verified
- [ ] Regression test added
- [ ] Similar code checked

Common Debugging Commands

# Recent changes
git log --oneline -20
git diff HEAD~5

# Search for pattern
grep -r "errorPattern" --include="*.ts"

# Check logs
pm2 logs app-name --err --lines 100

Anti-Patterns

Random changes - "Maybe if I change this..." ❌ Ignoring evidence - "That can't be the cause" ❌ Assuming - "It must be X" without proof ❌ Not reproducing first - Fixing blindly ❌ Stopping at symptoms - Not finding root cause

Read the full file on GitHub · 110 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. 3d ago First seen · 110 lines · 25 tokens per session scan A 53b60eed01a4

Subscribe to this mod's changes

systematic-debugging is a skill published in the GitHub repository xenitV1/Antigravity-Workflows (130 stars, last pushed 7mo ago), licensed MIT. It adds 25 tokens to every session and 610 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to systematic-debugging, differing in 2 lines, and is treated as a copy.

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