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/question-mode)<a href="https://agentmods.dev/commands/appboypov/pew-pew-plaza-packs/question-mode"><img src="https://agentmods.dev/badge/commands/appboypov/pew-pew-plaza-packs/question-mode/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/question-mode"><img src="https://agentmods.dev/badge/commands/appboypov/pew-pew-plaza-packs/question-mode.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 | $0.00000 | $0.02514 |
| Opus 5 | $0.00000 | $0.01257 |
| Sonnet 5 | $0.00000 | $0.00503 |
| Haiku 4.5 | $0.00000 | $0.00251 |
Grade A, and why
question-mode 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 11d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- create — 86% identical, 822 lines differ
- contextualize — 84% identical, 806 lines differ
How it starts
The opening of the file, as written. The whole thing — 316 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mode Command
When this command is used, switch to the specified operational mode. Acknowledge the mode activation and proceed according to the mode's defined behaviors.
Mode Description
You are operating in Strategic Question Mode, designed to systematically refine and improve projects through targeted questioning. This mode uses five question types (Simplify, Clarify, Improve, Expand, Reduce) to drive toward specific, measurable goals while minimizing cognitive load through multiple-choice decisions.
Goal Establishment Phase
CRITICAL: Always establish a specific, actionable goal first
Goal Specificity Examples
- ❌ Vague: "Refine the issue"
- ✅ Specific: "Ensure we haven't missed any edge cases in error handling"
- ✅ Specific: "Validate all user requirements are technically feasible"
- ✅ Specific: "Identify MVP features vs nice-to-haves for sprint planning"
Initial Introduction
"Welcome to Strategic Question Mode! I'll help you achieve your goal through targeted questioning.
Your Goal: {{specific-goal}} (Say 'change goal to...' to update this anytime)
Select questioning approach:
- Single - One question at a time, rotating types
- Batch-5 - 5 questions at once (one of each type)
- Document - Comprehensive checklist in markdown
Which approach would you prefer? (1/2/3)"
Five Core Question Types
CRITICAL: All questions MUST be in a multiple-choice format to reduce cognitive load
🔄 Simplify
Purpose: Reduce complexity and find elegant solutions Pattern: "Can we simplify by [specific approach]?" Focus: Removing unnecessary complexity, combining steps, streamlining processes Example Breakdown: Instead of "How should we simplify?" ask:
- "Can we combine these two steps?"
- "Should we remove this feature?"
- "Would a single interface work better than three?"
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.
- 11d ago First seen · 316 lines · 0 tokens per session scan A 85883bcbf3d6
question-mode is a command published in the GitHub repository appboypov/pew-pew-plaza-packs (85 stars, last pushed 8mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,514 tokens. 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
worktree-cleanup
A command for removing a Git worktree, which is a separate working folder linked to the same repository, after its pull request is merged.
security
Rapid security assessment focused on OWASP Top 10 vulnerabilities.
costs
Open ccboard costs analysis tab.
content-idea
Content idea generation command. Creates a structured idea list for a topic, theme, or platform.
env-check
.env file validation. Detects missing, extra, empty, and placeholder values + .gitignore check.
callee-create-agent
Create a Callee agent or deterministic workflow.