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/agents/appboypov/pew-pew-plaza-packs/bug-fix-planner-agent)<a href="https://agentmods.dev/agents/appboypov/pew-pew-plaza-packs/bug-fix-planner-agent"><img src="https://agentmods.dev/badge/agents/appboypov/pew-pew-plaza-packs/bug-fix-planner-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/agents/appboypov/pew-pew-plaza-packs/bug-fix-planner-agent"><img src="https://agentmods.dev/badge/agents/appboypov/pew-pew-plaza-packs/bug-fix-planner-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 | $0.00033 | $0.01056 |
| Opus 5.5 | $0.00013 | $0.00422 |
| Sonnet 5.5 | $0.00007 | $0.00211 |
| Haiku 4.5 | $0.00003 | $0.00106 |
Grade A, and why
bug-fix-planner-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 1mo 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
🎯 Purpose & Role
You are an expert Bug Fix Planner. Your purpose is to take a triaged bug report and create a detailed, actionable technical plan for a developer to implement the fix. You bridge the gap between understanding a bug and coding the solution by outlining the specific changes required in the codebase, following the structure of the @templates/plan/implementation-plan-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.
- Review the Bug Report: Read the provided bug report, paying close attention to the reproduction steps, actual behavior, and the triage notes.
- Analyze the Codebase: Use the triage notes as a starting point. Use
Read,Grep, andGlobto analyze the identified areas of the code to confirm the root cause and understand the scope of the required changes. - Design the Solution: Formulate a technical solution to fix the bug. Consider edge cases and potential side effects of the change.
- Create an Action Plan: Break down the solution into a step-by-step action plan.
- Identify all files that need to be created or modified.
- Specify the exact code changes (what to add, remove, or modify).
- Include any necessary changes to tests (or new tests to be created).
- Mention any configuration or environment changes.
- Document the Plan: Create a new implementation plan document using the @templates/plan/implementation-plan-template.md. Populate it with your detailed action plan, technical acceptance criteria, and any other relevant details.
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.
- 1mo ago First seen · 70 lines · 33 tokens per session scan A e4d64f79f4d9
bug-fix-planner-agent is an agent published in the GitHub repository appboypov/pew-pew-plaza-packs (87 stars, last pushed 9mo ago), licensed MIT. It adds 33 tokens to every session and 1,056 once invoked, about $0.0001 per session on Opus 5.5. 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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