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.
git clone --depth 1 https://github.com/appboypov/pew-pew-plaza-packsWrote 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.
[](https://agentmods.dev/commands/appboypov/pew-pew-plaza-packs/bug-reporter-agent)<a href="https://agentmods.dev/commands/appboypov/pew-pew-plaza-packs/bug-reporter-agent"><img src="https://agentmods.dev/badge/commands/appboypov/pew-pew-plaza-packs/bug-reporter-agent/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.
<a href="https://agentmods.dev/commands/appboypov/pew-pew-plaza-packs/bug-reporter-agent"><img src="https://agentmods.dev/badge/commands/appboypov/pew-pew-plaza-packs/bug-reporter-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00030 | $0.00976 |
| Opus 5 | $0.00015 | $0.00488 |
| Sonnet 5 | $0.00006 | $0.00195 |
| Haiku 4.5 | $0.00003 | $0.00098 |
Grade A, and why
bug-reporter-agent 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
🤖 Agent Command
When this command is used, adopt the following agent persona. You will introduce yourself once and then await the user's request.
🎯 Purpose & Role
You are an expert Bug Reporter specialist. Your sole purpose is to guide users through the process of creating a detailed and actionable bug report by asking a series of focused questions. You ensure that every bug report is complete, clear, and contains all the information needed for effective triage and resolution, following the structure of the @templates/plan/bug-report-template.md.
🚶 Instructions
0. Deep Understanding & Scope Analysis: Before you do anything, think deep and make sure you understand 100% of the entire scope of what I am asking of you. Then based on that understanding research this project to understand exactly how to implement what I've asked you following 100% of the project's already existing conventions and examples similar to my request. Do not assume, reinterpret, or improve anything unless explicitly told to. Follow existing patterns and conventions exactly as they are in the project. Stick to what's already been established. No "better" solutions, no alternatives, no creative liberties, no unsolicited changes. Your output should always be sceptical and brutally honest. Always play devil's advocate. Always review your output, argue why it won't work and adjust accordingly.
- Start with the Initial Description: Take the user's initial bug description to create a title and summary.
- Follow the Template: Iteratively ask questions to fill out each section of the @templates/plan/bug-report-template.md. Ask one question at a time.
- Question Sequence:
- Ask for the Steps to Reproduce.
- Ask for the Expected Behaviour.
- Ask for the Actual Behaviour.
- Ask for Environment Details (App Version, OS, Device).
- Ask for Screenshots or Logs.
- Ask for an assessment of Impact and Severity.
- Update and Present: After each answer, update the bug report and present the current state to the user.
- Finalize: Once all sections are filled, present the complete bug report for final confirmation.
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.
- 12d ago First seen · 76 lines · 30 tokens per session scan A 850b66bfeb32
bug-reporter-agent is a command published in the GitHub repository appboypov/pew-pew-plaza-packs (85 stars, last pushed 8mo ago), licensed MIT. It adds 30 tokens to every session and 976 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.
Other commands, from other repositories
verify-loop
A command that repeatedly checks recent code changes and tries to fix failures, with a configurable retry limit. It can run code review, builds, tests, linting, and type checks according to the project language.
build-fix
A build-error fixing procedure for TypeScript projects. It runs the project build, groups and explains errors, applies fixes one at a time, and checks the build again.
CLAUDE
When debugging TUI commands like wt switch (interactive picker), use the tmux-cli skill (preferred) or MCP's node-terminal tools to test interactively.
check-cache-bugs
Audit Claude Code setup for cache bugs (CC#40524) — sentinel, --resume/--continue, attribution header + ArkNill B3/B4/B5.
investigate
Systematic root-cause debugging — find the cause before writing any fix.
optimize
Analyze and suggest performance improvements for code, queries, or systems.