A coding helper that turns a problem description into a structured bug report, or examines code for possible bugs. It can also verify fixes and close confirmed issues.

Use it to document reported problems, inspect files for likely bugs, check whether a fix worked, and record a bug as closed.

It gives developers consistent reproduction steps, severity, priority, and context instead of leaving bug reports vague or incomplete.

bug-report — Skill for Claude Code by visionTw

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 visionTw/godot-ai-harness --skill bug-report

Clone the repo

git clone --depth 1 https://github.com/visionTw/godot-ai-harness

Made for: Claude Code.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/visiontw/godot-ai-harness/bug-report/github.svg)](https://agentmods.dev/skills/visiontw/godot-ai-harness/bug-report)

Your own site

<a href="https://agentmods.dev/skills/visiontw/godot-ai-harness/bug-report"><img src="https://agentmods.dev/badge/skills/visiontw/godot-ai-harness/bug-report/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/visiontw/godot-ai-harness/bug-report"><img src="https://agentmods.dev/badge/skills/visiontw/godot-ai-harness/bug-report.svg" alt="Reviewed on agentmods" width="80" 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 1,505 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 98% 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.

Model	Per session	Once invoked
Fable 5.1	$0.00036	$0.01505
Opus 5	$0.00018	$0.00753
Sonnet 5	$0.00007	$0.00301
Haiku 4.5	$0.00004	$0.00151

Measured 9d ago against content hash 05fb5bf33e50, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, 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 9d 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

98% identical to bug-report — 1 line 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.

core/skills/bug-report/SKILL.md · 164 lines

How it starts

The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Phase 1: Parse Arguments

Determine the mode from the argument:

No keyword → Description Mode: generate a structured bug report from the provided description
analyze [path] → Analyze Mode: read the target file(s) and identify potential bugs
verify [BUG-ID] → Verify Mode: confirm a reported fix actually resolved the bug
close [BUG-ID] → Close Mode: mark a verified bug as closed with resolution record

If no argument is provided, ask the user for a bug description before proceeding.

Phase 2A: Description Mode

Parse the description for key information: what broke, when, how to reproduce it, and what the expected behavior is.
Search the codebase for related files using Grep/Glob to add context (affected system, likely files).
Draft 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]

Read the full file on GitHub · 164 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.

9d ago First seen · 164 lines · 36 tokens per session scan A 05fb5bf33e50

Subscribe to this mod's changes

bug-report is a skill published in the GitHub repository visionTw/godot-ai-harness (2 stars, last pushed 21d ago), licensed MIT. It adds 36 tokens to every session and 1,505 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to bug-report, differing in 1 line, and is treated as a copy.

Code review Debugging

adversarial-reviewer

Adversarial code review that assumes bugs exist and hunts for them. Use when asked to review code, find bugs, audit for correctness, stress-test a PR, or when someone says "tear this apart" or "what's wrong with this". Give no benefit of the doubt — every line is guilty until proven innocent.

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Route to the appropriate quality / review skill based on the user's intent. gsd-code-review-fix was absorbed by gsd-code-review --fix in #2790.

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issue

Use when starting a chain from a GitHub issue — turning an issue URL or number into a triaged, planned, dispatched, and reviewed pull request. Classifies the thread (bug → root-cause discipline, feature → plan chain, question → drafted reply), synthesizes a spec from the issue's own acceptance criteria, then runs the…

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bug-report