bug-report

bug-report is a skill for Claude Code, Codex from HolyMonkey/youtube-example-ai-studio. It costs 36 tokens per session (597 once invoked), scanned A, a copy of bug-report, MIT.

A structured bug-reporting and bug-finding aid for software projects, especially games. It turns a problem description or code inspection into a report with reproduction steps, severity, affected area, and environment details.

In plain words
What is it for?
Use it to document reported bugs or inspect code for possible defects, including crashes, gameplay, interface, visual, audio, network, and performance problems.
Why use it?
It makes vague bug descriptions specific enough for another developer to reproduce and fix. It also provides a consistent way to record how serious and frequent a problem is.

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/holymonkey/youtube-example-ai-studio/bug-report
Any agent
npx skills add HolyMonkey/youtube-example-ai-studio --skill bug-report
Clone the repo
git clone --depth 1 https://github.com/HolyMonkey/youtube-example-ai-studio

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 bug-report

README.md
[![agentmods](https://agentmods.dev/badge/skills/holymonkey/youtube-example-ai-studio/bug-report.svg)](https://agentmods.dev/skills/holymonkey/youtube-example-ai-studio/bug-report)
Your own site
<a href="https://agentmods.dev/skills/holymonkey/youtube-example-ai-studio/bug-report"><img src="https://agentmods.dev/badge/skills/holymonkey/youtube-example-ai-studio/bug-report.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 597 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 100% 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 $0.00036 $0.00597
Opus 5 $0.00018 $0.00298
Sonnet 5 $0.00007 $0.00119
Haiku 4.5 $0.00004 $0.00060

Measured 4d ago against content hash 1b3ee55fa197, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

bug-report 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.

Origin

This is a copy

100% identical to bug-report — 0 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.

.claude/skills/bug-report/SKILL.md · 76 lines

What it actually says

When invoked with a description:

  1. Parse the description for key information.

  2. Search the codebase for related files using Grep/Glob to add context.

  3. Generate the bug report:

# Bug Report

## Summary
**Title**: [Concise, descriptive title]
**ID**: BUG-[NNNN]
**Severity**: [S1-Critical / S2-Major / S3-Minor / S4-Trivial]
**Priority**: [P1-Immediate / P2-Next Sprint / P3-Backlog / P4-Wishlist]
**Status**: Open
**Reported**: [Date]
**Reporter**: [Name]

## Classification
- **Category**: [Gameplay / UI / Audio / Visual / Performance / Crash / Network]
- **System**: [Which game system is affected]
- **Frequency**: [Always / Often (>50%) / Sometimes (10-50%) / Rare (<10%)]
- **Regression**: [Yes/No/Unknown -- was this working before?]

## Environment
- **Build**: [Version or commit hash]
- **Platform**: [OS, hardware if relevant]
- **Scene/Level**: [Where in the game]
- **Game State**: [Relevant state -- inventory, quest progress, etc.]

## Reproduction Steps
**Preconditions**: [Required state before starting]

1. [Exact step 1]
2. [Exact step 2]
3. [Exact step 3]

**Expected Result**: [What should happen]
**Actual Result**: [What actually happens]

## Technical Context
- **Likely affected files**: [List of files based on codebase search]
- **Related systems**: [What other systems might be involved]
- **Possible root cause**: [If identifiable from the description]

## Evidence
- **Logs**: [Relevant log output if available]
- **Visual**: [Description of visual evidence]

## Related Issues
- [Links to related bugs or design documents]

## Notes
[Any additional context or observations]

When invoked with analyze:

  1. Read the target file(s).
  2. Identify potential bugs: null references, off-by-one errors, race conditions, unhandled edge cases, resource leaks, incorrect state transitions.
  3. For each potential bug, generate a bug report with the likely trigger scenario and recommended fix.
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 · 76 lines · 36 tokens per session scan A 1b3ee55fa197

Subscribe to this mod's changes

bug-report is a skill published in the GitHub repository HolyMonkey/youtube-example-ai-studio (11 stars, last pushed 5mo ago), licensed MIT. It adds 36 tokens to every session and 597 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to bug-report, differing in 0 lines, and is treated as a copy.

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