debugging-strategies

debugging-strategies is a skill for Claude Code, Codex from omnigentx/jarvis. It costs 36 tokens per session (380 once invoked), scanned A, original, MIT.

A collection of programming instructions for creating generative artwork with p5.js, a JavaScript library for drawing in web pages. The artwork is produced by code using seeded randomness, particles, fields, and adjustable parameters.

In plain words
What is it for?
Use it to develop a written artistic concept, then implement an interactive HTML and JavaScript viewer for flow fields, particle systems, noise-based forms, and other algorithmic artwork.
Why use it?
It provides a repeatable way to explore computer-generated visuals while keeping results reproducible and interactive.

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/omnigentx/jarvis/debugging-strategies
Any agent
npx skills add omnigentx/jarvis --skill debugging-strategies
Clone the repo
git clone --depth 1 https://github.com/omnigentx/jarvis

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-strategies

README.md
[![agentmods](https://agentmods.dev/badge/skills/omnigentx/jarvis/debugging-strategies.svg)](https://agentmods.dev/skills/omnigentx/jarvis/debugging-strategies)
Your own site
<a href="https://agentmods.dev/skills/omnigentx/jarvis/debugging-strategies"><img src="https://agentmods.dev/badge/skills/omnigentx/jarvis/debugging-strategies.svg" alt="Measured on agentmods" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 380 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 $0.00036 $0.00380
Opus 5 $0.00018 $0.00190
Sonnet 5 $0.00007 $0.00076
Haiku 4.5 $0.00004 $0.00038

Measured 5d ago against content hash 9ecc313d5c49, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

debugging-strategies 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 5d 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.

backend/.fast-agent/skills/debugging-strategies/SKILL.md · 53 lines

What it actually says

SYSTEMATIC DEBUGGING

4-phase process

Phase 1: REPRODUCE

  • Confirm the bug exists.
  • Record the exact steps to reproduce.
  • Capture: error message, stack trace, logs.

Phase 2: HYPOTHESIZE

  • Read the error message carefully — it usually contains a clue.
  • List 2–3 of the most likely hypotheses.
  • Rank them by likelihood.

Phase 3: TEST

  • Test the highest-likelihood hypothesis FIRST.
  • Binary search: split the code in half, test each half.
  • Add temporary logging at suspect points.
  • DO NOT change code before you understand the root cause.

Phase 4: FIX & VERIFY

  • Fix the root cause, NOT the symptom.
  • Write a test that reproduces the bug BEFORE the fix.
  • Verify the fix: the new test must pass.
  • Remove temporary logging.

Decision tree

What kind of bug?
├── Runtime error → Read the stack trace; locate the failing line.
├── Logic error → Add print/log at input and output points.
├── Performance → Profile: measure time spent per phase.
├── Intermittent → Look for race conditions; check timing.
└── Hard to reproduce → Add defensive logging.

❌ Anti-patterns

  • Guess → patch random code → hope it works.
  • Fix the symptom → root cause stays → bug returns.
  • Skip writing a test → same bug recurs after a future refactor.

✅ Standard

  • Reproduce → Hypothesis → Test → Fix → Verify → Commit with test.
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. 5d ago First seen · 53 lines · 36 tokens per session scan A 9ecc313d5c49

Subscribe to this mod's changes

debugging-strategies is a skill published in the GitHub repository omnigentx/jarvis (36 stars, last pushed 9d ago), licensed MIT. It adds 36 tokens to every session and 380 once invoked, about $0.0002 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 2026-08-30.

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