debugging-systematically

debugging-systematically is a skill for Claude Code, Codex from porcupine-md/jonggrang. It costs 26 tokens per session (746 once invoked), scanned A, original, MIT.

A step-by-step method for finding and fixing software bugs. It starts by reproducing the problem and ends by checking that the fix works.

In plain words
What is it for?
Use it to reproduce bugs, narrow them to a file or function, test possible causes, and confirm fixes.
Why use it?
It prevents guesswork by using evidence from errors, tests, and controlled checks. This makes it easier to locate the actual cause instead of treating symptoms.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to reproduce bugs, narrow them to a file or function, test possible causes, and confirm fixes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/porcupine-md/jonggrang/debugging-systematically
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 porcupine-md/jonggrang --skill debugging-systematically
Clone the repo
git clone --depth 1 https://github.com/porcupine-md/jonggrang

Made for: Claude Code, Codex.

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 debugging-systematically

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/porcupine-md/jonggrang/debugging-systematically"><img src="https://agentmods.dev/badge/skills/porcupine-md/jonggrang/debugging-systematically.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 746 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00026 $0.00746
Opus 5.5 $0.00010 $0.00298
Sonnet 5.5 $0.00005 $0.00149
Haiku 4.5 $0.00003 $0.00075

Measured 1mo ago against content hash e35911443ba4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

debugging-systematically 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.

skills/library/backend/debugging-systematically/SKILL.md · 122 lines

How it starts

The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.

The 6-Step Debugging Protocol

Step 1: Reproduce Reliably

Before anything else, make the bug reproducible.

# Write a failing test that reproduces the bug
it('reproduces bug #123', async () => {
  // The exact scenario that causes the bug
  const result = await service.doThing(buggyInput);
  expect(result).toBe(expectedValue); // This fails currently
});

If you can't write a reproducible test, you don't understand the bug yet.

Step 2: Read the Error

Read the FULL error message + stack trace. Most bugs tell you exactly where they are.

Checklist:

  • What file and line number?
  • What was the actual value vs expected?
  • Is there an inner error wrapped in the outer one?

Step 3: Narrow the Scope (Binary Search)

Full system broken?
  → Is it the database connection or the business logic?
    → Is it in the controller or the service?
      → Is it in the query or the parsing?

Add console.log / breakpoints to establish:

  • What inputs enter the broken function?
  • What does the function actually return?

Step 4: Form a Hypothesis

State your hypothesis explicitly:

"I believe the bug is caused by [X] because [evidence Y]."

Common hypotheses:

  • Off-by-one error
  • Async/await missing (uncaught promise)
  • Null/undefined not handled
  • Type coercion (== vs ===)
  • Race condition
  • Stale cache/state

Step 5: Verify (Don't Fix Yet)

Prove your hypothesis is correct BEFORE fixing:

// Add assertion to confirm hypothesis
console.assert(typeof userId === 'string', `userId is ${typeof userId}`);

If the hypothesis is wrong, go back to Step 3.

Step 6: Fix and Confirm

  1. Apply the minimal fix
  2. Run the reproduction test — it should now pass
  3. Run the full test suite — nothing should break
  4. Write a regression test if one didn't exist

Common Bug Patterns

Async bugs:

// BUG: forgot await
const user = getUser(id); // returns Promise, not User
user.name; // undefined

// FIX:
const user = await getUser(id);

Read the full file on GitHub · 122 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 · 122 lines · 26 tokens per session scan A e35911443ba4

Subscribe to this mod's changes

debugging-systematically is a skill published in the GitHub repository porcupine-md/jonggrang (16 stars, last pushed 1mo ago), licensed MIT. It adds 26 tokens to every session and 746 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.

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

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

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

ci-fixer

CI failures - read error, minimal fix, verify.

sipyourdrink-ltd/bernstein · 15 tokens