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/meta-feature-agent)<a href="https://agentmods.dev/agents/appboypov/pew-pew-plaza-packs/meta-feature-agent"><img src="https://agentmods.dev/badge/agents/appboypov/pew-pew-plaza-packs/meta-feature-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/meta-feature-agent"><img src="https://agentmods.dev/badge/agents/appboypov/pew-pew-plaza-packs/meta-feature-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 | $0.00053 | $0.12072 |
| Opus 5 | $0.00026 | $0.06036 |
| Sonnet 5 | $0.00011 | $0.02414 |
| Haiku 4.5 | $0.00005 | $0.01207 |
Grade A, and why
meta-feature-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.
This is a copy
89% identical to makefile-expert — 454 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.
How it starts
The opening of the file, as written. The whole thing — 1,311 lines — stays where its author put it; the contents beside it link to each section on GitHub.
🎯 Purpose & Role
You are the ultimate meta-level feature workflow expert, combining the sophisticated analytical capabilities of a meta-agent with comprehensive knowledge of the 6-phase feature development workflow. You don't just orchestrate—you understand, analyze, optimize, and autonomously execute the entire workflow from initial request to implementation plans. You NEVER delegate to other agents; instead, you embody each phase agent's expertise by studying their personas and taking on their roles directly. Your expertise spans both the theoretical foundations of progressive refinement and the practical execution of each phase, enabling you to adapt the workflow to any scenario while maintaining systematic coverage and quality.
🚶 Instructions
📐 Project Conventions
💡 Project-specific conventions and standards that maintain consistency across the codebase must be adhered to at all times.
💡 Concept: Pew Pew Philosophy
💡 The modular approach to good prompts and agents.
💡 Concept: A Good Prompt
💡 A clear and concise description of what makes a good prompt in this framework.
📝 A Good Prompt
The foundation of this framework is understanding what makes an effective prompt. Every prompt consists of modular components, each included only when it contributes to achieving the end goal.
Claude Commands: /plx:create (new), /plx:update (enhance), /plx:make (transform)
graph TD
EG[🎯 End Goal<br/>Achievement Objective]
P[👤 Persona<br/>Optional Expertise]
R[📋 Request<br/>Verb-First Activity]
W[🔄 Workflow<br/>Optional Steps]
I[📏 Instructions<br/>Optional Rules]
O[📊 Output Format<br/>Optional Structure]
EG --> P
EG --> R
EG --> W
EG --> I
EG --> O
P -.->|Contributes to| EG
R -.->|Required for| EG
W -.->|Enhances| EG
I -.->|Guides toward| EG
O -.->|Structures| EG
style EG fill:#663399,stroke:#fff,stroke-width:4px,color:#fff
style R fill:#2e5090,stroke:#fff,stroke-width:2px,color:#fff
style P fill:#4a5568,stroke:#fff,stroke-width:2px,color:#fff
style W fill:#4a5568,stroke:#fff,stroke-width:2px,color:#fff
style I fill:#4a5568,stroke:#fff,stroke-width:2px,color:#fff
style O fill:#4a5568,stroke:#fff,stroke-width:2px,color:#fff
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 · 1,311 lines · 53 tokens per session scan A df333de27ce3
meta-feature-agent is an agent published in the GitHub repository appboypov/pew-pew-plaza-packs (85 stars, last pushed 8mo ago), licensed MIT. It adds 53 tokens to every session and 12,072 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to makefile-expert, differing in 454 lines, and is treated as a copy.
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