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.
npx agentmods add instructions/tranquility2/quizzing/gemini-mdgit clone --depth 1 https://github.com/Tranquility2/quizzingWhat 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 | $0.00144 | $0.00144 |
| Opus 5 | $0.00072 | $0.00072 |
| Sonnet 5 | $0.00029 | $0.00029 |
| Haiku 4.5 | $0.00014 | $0.00014 |
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.
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
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.
- 2d ago First seen · 13 lines · 144 tokens per session scan A 4cadaa7899be
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.
Other instructions, from other repositories
Paperlab AGENTS.md
Instructions for NourMtir0722/Paperlab, covering paperlab — for coding agents, integrating paperlab into a project, stage mode — paper as architecture, content types and lighting is data, not an enum.
solidworks-api-skill CLAUDE.md
Instructions for guoleizhen717/solidworks-api-skill, covering solidworks api skill repository, repository purpose, skill scope and project conventions.
PixelPilot uiux-css-architecture.instructions.md
CSS methodology, modules, and styling strategies.
q3ds-solidworks-mcp AGENTS.md
AGENTS.md instructions for zarcherlot/q3ds-solidworks-mcp, covering codex repository guidance, architecture, drawing planning and verification.
github-copilot-instructions a11y.instructions.md
Guidance for creating more accessible code.
openscad-studio CLAUDE.md
Claude Code instructions for zacharyfmarion/openscad-studio, covering claude.md - ai assistant guide for openscad studio, project overview, design context, users and brand personality.