systematic-debugging

systematic-debugging is a skill for Claude Code from iofold/ainative-claude-plugins. It costs 72 tokens per session (2,178 once invoked), scanned A, a copy of systematic-debugging, MIT.

A step-by-step method for debugging software problems by finding the underlying cause before changing code.

In plain words
What is it for?
Use it to investigate errors, crashes, failed tests, broken behaviour, and problems that cannot yet be reproduced reliably.
Why use it?
It prevents guesswork and quick patches that hide the real problem or create new bugs.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the code-quality plugin — 2 skills, 2 commands shipped together

Good fit Use it to investigate errors, crashes, failed tests, broken behaviour, and problems that cannot yet be reproduced reliably.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/iofold/ainative-claude-plugins/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 iofold/ainative-claude-plugins --skill systematic-debugging
Clone the repo
git clone --depth 1 https://github.com/iofold/ainative-claude-plugins

Made for: Claude Code.

Or install code-quality, the plugin that ships this one along with the rest of its 2 skills, 2 commands.

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/iofold/ainative-claude-plugins/systematic-debugging/github.svg)](https://agentmods.dev/skills/iofold/ainative-claude-plugins/systematic-debugging)
Your own site
<a href="https://agentmods.dev/skills/iofold/ainative-claude-plugins/systematic-debugging"><img src="https://agentmods.dev/badge/skills/iofold/ainative-claude-plugins/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/iofold/ainative-claude-plugins/systematic-debugging"><img src="https://agentmods.dev/badge/skills/iofold/ainative-claude-plugins/systematic-debugging.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,178 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 $0.00072 $0.02178
Opus 5.5 $0.00029 $0.00871
Sonnet 5.5 $0.00014 $0.00436
Haiku 4.5 $0.00007 $0.00218

Measured 1mo ago against content hash 9bd7bc55bf04, 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.

The scan reads SKILL.md. This mod also ships 2 executable files (references/condition-based-waiting-example.ts, references/find-polluter.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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 — 58 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.

code-quality/skills/systematic-debugging/SKILL.md · 274 lines

How it starts

The opening of the file, as written. The whole thing — 274 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.

The Four Phases

You MUST complete each phase before proceeding to the next.

Phase 1: Root Cause Investigation

BEFORE attempting ANY fix:

  1. Read Error Messages Carefully

    • Don't skip past errors or warnings
    • They often contain the exact solution
    • Read stack traces completely
    • Note line numbers, file paths, error codes
  2. Reproduce Consistently

    • Can you trigger it reliably?
    • What are the exact steps?
    • Does it happen every time?
    • If not reproducible - gather more data, don't guess
  3. Check Recent Changes

    • What changed that could cause this?
    • Git diff, recent commits
    • New dependencies, config changes
    • Environmental differences
  4. Gather Evidence in Multi-Component Systems

    WHEN system has multiple components (CI - build - signing, API - service - database):

    BEFORE proposing fixes, add diagnostic instrumentation:

    For EACH component boundary:
      - Log what data enters component
      - Log what data exits component
      - Verify environment/config propagation
      - Check state at each layer
    
    Run once to gather evidence showing WHERE it breaks
    THEN analyze evidence to identify failing component
    THEN investigate that specific component
    

    Example (multi-layer system):

    # Layer 1: Workflow
    echo "=== Secrets available in workflow: ==="
    echo "IDENTITY: ${IDENTITY:+SET}${IDENTITY:-UNSET}"
    
    # Layer 2: Build script
    echo "=== Env vars in build script: ==="
    env | grep IDENTITY || echo "IDENTITY not in environment"
    
    # Layer 3: Signing script
    echo "=== Keychain state: ==="
    security list-keychains
    security find-identity -v
    
    # Layer 4: Actual signing
    codesign --sign "$IDENTITY" --verbose=4 "$APP"
    

Read the full file on GitHub · 274 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 · 274 lines · 72 tokens per session scan A 9bd7bc55bf04

Subscribe to this mod's changes

systematic-debugging is a skill published in the GitHub repository iofold/ainative-claude-plugins (3 stars, last pushed 1mo ago), licensed MIT. It adds 72 tokens to every session and 2,178 once invoked, about $0.0003 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 58 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

diagnose

Trace from a reproduced symptom to the source code that causes it. Pin the specific file and approximate line, rate confidence in the cause and clarity of the fix independently, and always propose a concrete fix.

emdash-cms/emdash · 43 tokens

repro-admin

Reproduce an EmDash admin UI bug. Attach a container, start the demo dev server, drive the admin with agent-browser using the dev-bypass session, and capture the reproduction as screenshots plus a replayable transcript.

emdash-cms/emdash · 48 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