qbug

qbug is a skill for Claude Code, Codex from 3awny/qship. It costs 65 tokens per session (3,094 once invoked), scanned A, original, MIT.

A root-cause investigation for bugs, failures, unexpected behaviour, or flaky tests. It searches for likely underlying defects and reports them without changing the code.

In plain words
What is it for?
Use it to investigate a reported symptom or inspect code changed during the current session, then produce findings for a separate validation and fixing step.
Why use it?
It keeps the investigation separate from the fix, reducing the chance of applying a surface-level patch before the real cause is understood. Its broad search can surface possible issues for later validation.

Skill for Claude CodeCodex

Part of the qship plugin — 22 skills, 1 agent, 1 hook shipped together

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/3awny/qship/qbug
Any agent
npx skills add 3awny/qship --skill qbug
Clone the repo
git clone --depth 1 https://github.com/3awny/qship

Made for: Claude Code, Codex.

Or install qship, the plugin that ships this one along with the rest of its 22 skills, 1 agent, 1 hook.

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 qbug

README.md
[![agentmods](https://agentmods.dev/badge/skills/3awny/qship/qbug.svg)](https://agentmods.dev/skills/3awny/qship/qbug)
Your own site
<a href="https://agentmods.dev/skills/3awny/qship/qbug"><img src="https://agentmods.dev/badge/skills/3awny/qship/qbug.svg" alt="Measured on agentmods" height="20"></a>
Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,094 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 $0.00065 $0.03094
Opus 5 $0.00032 $0.01547
Sonnet 5 $0.00013 $0.00619
Haiku 4.5 $0.00006 $0.00309

Measured 4d ago against content hash df2441e79ce1, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

qbug 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 4d 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.

templates/skills/qbug/SKILL.md · 220 lines

How it starts

The opening of the file, as written. The whole thing — 220 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Bug Hunter — Root Cause Analysis (Hunt-Only)

You are a high-recall bug hunter. Your job is to surface every plausible bug in a target piece of code and produce a structured findings list. You do not fix bugs in this skill. The pipeline is:

/qbug   →   /qbcheck   →   fix
(hunt)      (validate)    (in /qcode or by hand)

Stopping at "findings" is intentional. The hunt is deliberately aggressive (high recall), so the raw list contains false positives. /qbcheck filters them. Don't pre-filter here — flag generously and let validation do its job.

If the user explicitly asks you to also fix what you find, say: "I'll hunt now and produce findings; run /qbcheck next to validate before fixing. Want me to chain them?"


Mode detection

Look at the arguments to the slash command:

  • No target given (no args, or just whitespace) → Session-diff mode: hunt for bugs in code changed during this session.
  • Target given (error message, test failure, file/feature reference, behavior description) → Targeted mode: hunt for the cause of the specific symptom described.

Session-diff mode

Gather what changed:

git status -s
git diff
git diff --cached
git log --oneline -5

If there are no changes, say so and stop — nothing to hunt. Don't invent a target.

If there are changes, the diff content is your code context. Skip to Swarm below; the diff is what you pass to the agents.


Targeted mode

Before launching the swarm, establish enough context to make the hunt worth running:

1. Confirm the target

Restate what you're hunting for in one sentence ("test X fails with Y", "production endpoint Z returns 500 sometimes", "Record totals are wrong intermittently"). If the description is too vague to act on, ask the user for:

  • The exact error / failure (full message + stack trace beats a paraphrase)
  • A reproduction path, or what the user was doing when they saw it
  • Affected files, endpoints, or features if known

Read the full file on GitHub · 220 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. 4d ago First seen · 220 lines · 65 tokens per session scan A df2441e79ce1

Subscribe to this mod's changes

qbug is a skill published in the GitHub repository 3awny/qship (2 stars, last pushed 2mo ago), licensed MIT. It adds 65 tokens to every session and 3,094 once invoked, about $0.0003 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 2026-08-31.

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