systematic-debugging

systematic-debugging is a skill for Claude Code from xenitV1/Antigravity-Workflows. It costs 25 tokens per session (610 once invoked), scanned A, a copy of systematic-debugging, MIT.

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 Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to investigate difficult bugs, document reproduction steps, ask why a failure occurs, and verify that a change really solved the issue.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/xenitv1/antigravity-workflows/systematic-debugging
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.

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.

Wrote 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.

agentmods badge for systematic-debugging

README.md
[![agentmods](https://agentmods.dev/badge/skills/xenitv1/antigravity-workflows/systematic-debugging/github.svg)](https://agentmods.dev/skills/xenitv1/antigravity-workflows/systematic-debugging)
Your own site
<a href="https://agentmods.dev/skills/xenitv1/antigravity-workflows/systematic-debugging"><img src="https://agentmods.dev/badge/skills/xenitv1/antigravity-workflows/systematic-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.

agentmods 80×15 button for systematic-debugging

Your own site · 80×15
<a href="https://agentmods.dev/skills/xenitv1/antigravity-workflows/systematic-debugging"><img src="https://agentmods.dev/badge/skills/xenitv1/antigravity-workflows/systematic-debugging.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
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. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00025 $0.00610
Opus 5.5 $0.00010 $0.00244
Sonnet 5.5 $0.00005 $0.00122
Haiku 4.5 $0.00003 $0.00061

Measured 1mo ago against content hash 53b60eed01a4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 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.

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. 1mo 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 (127 stars, last pushed 9mo ago), licensed MIT. It adds 25 tokens to every session and 610 once invoked, about $0.0001 per session on Opus 5.5. 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.

Related

Other skills, from other repositories

debug-optimize-lcp

Guides debugging and optimizing Largest Contentful Paint (LCP) using Chrome DevTools MCP tools. Use this skill whenever the user asks about LCP performance, slow page loads, Core Web Vitals optimization, or wants to understand why their page's main content takes too long to appear. Also use when the user mentions…

ChromeDevTools/chrome-devtools-mcp · 99 tokens

systematic-debugging

Use when debugging a failing test, build error, or runtime issue that isn't immediately obvious. Guides a 4-phase root cause analysis instead of random fix attempts.

open-metadata/OpenMetadata · 37 tokens

log-error-digest

Analyze log files to troubleshoot errors, identify peak error periods, and produce error clustering, frequency statistics, and time distribution reports. Supports JSON, syslog, and Nginx formats with automatic detection. Use when a user uploads a .log file and asks to analyze errors, find patterns, debug issues, or…

zebbern/claude-code-guide · 71 tokens

deck-retro

Run a fully local agent-deck retrospective over the user's own transcripts, Recall index and logs. Use when a user wants to find recurring failures or take their own finding from investigation through synthetic reproduction, a user-filed issue, a test-first fix and contributor PR handoff. Also use for weekly usage…

asheshgoplani/agent-deck · 86 tokens

incident-response-incident-response

Coordinate production incident triage, mitigation, investigation, recovery, and follow-up. Use when responding to outages or other incidents that require structured operational coordination.

rmyndharis/antigravity-skills · 36 tokens

cwv-optimizer

Diagnose and fix Core Web Vitals issues on AEM Edge Delivery Services pages. Goes deeper than generic CWV advice by understanding EDS-specific performance patterns including the 100KB LCP budget, E-L-D loading phases, block rendering behavior, and third-party script impact. Produces specific fixes for LCP, CLS, and…

adobe/skills · 112 tokens