quizzing GEMINI.md

Instructions for a design-questionnaire workflow called Quizzing. It gathers a small set of clarifying answers in a web form before the agent creates a design.

In plain words
What is it for?
Preparing design questionnaires, asking capped and paginated questions, and using the returned answers as JSON when producing a design.
Why use it?
Important design decisions can be missed when the agent starts building too soon. Collecting the answers first helps establish the intended direction.

Instructions file for Gemini CLI

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.

agentmods
npx agentmods add instructions/tranquility2/quizzing/gemini-md
Clone the repo
git clone --depth 1 https://github.com/Tranquility2/quizzing

Made for: Gemini CLI.

Per session 144 This file is loaded in full into every session.
When invoked 144 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found 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.

ModelPer sessionOnce invoked
Fable 5 $0.00144 $0.00144
Opus 5 $0.00072 $0.00072
Sonnet 5 $0.00029 $0.00029
Haiku 4.5 $0.00014 $0.00014

Measured 2d ago against content hash 4cadaa7899be, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

quizzing GEMINI.md 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 2d 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.

GEMINI.md · 13 lines

What it actually says

Quizzing

This extension provides Quizzing — a workflow that front-loads an agent's clarifying questions into one convenient, capped, paginated web form so a design is right on the first go. It is the inverse (in cadence) of "grilling": look up facts first, ask 1–5 grilling-style "bearing" questions, then generate a single capped web questionnaire and read the answers back as JSON to produce the design.

Follow the skill instructions below whenever the user asks to "run quizzing", wants a design questionnaire, or wants to align on a design before you build.

@./skills/quizzing/SKILL.md

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.

  1. 2d ago First seen · 13 lines · 144 tokens per session scan A 4cadaa7899be

Subscribe to this mod's changes

quizzing GEMINI.md is an instructions file published in the GitHub repository Tranquility2/quizzing (2 stars, last pushed 1mo ago), licensed MIT. It adds 144 tokens to every session, about $0.0007 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 2026-08-31.

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