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 skills add FlorianBruniaux/claude-code-plugins --skill learn-quizgit clone --depth 1 https://github.com/FlorianBruniaux/claude-code-pluginsWrote 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/skills/florianbruniaux/claude-code-plugins/learn-quiz)<a href="https://agentmods.dev/skills/florianbruniaux/claude-code-plugins/learn-quiz"><img src="https://agentmods.dev/badge/skills/florianbruniaux/claude-code-plugins/learn-quiz/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/skills/florianbruniaux/claude-code-plugins/learn-quiz"><img src="https://agentmods.dev/badge/skills/florianbruniaux/claude-code-plugins/learn-quiz.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 | $0.00012 | $0.00920 |
| Opus 5.5 | $0.00005 | $0.00368 |
| Sonnet 5.5 | $0.00002 | $0.00184 |
| Haiku 4.5 | $0.00001 | $0.00092 |
Grade A, and why
learn-quiz 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 yesterday.
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 — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Quiz me
Test understanding of recently written or accepted code.
Usage
/learn:quiz # Quiz on last code worked with
/learn:quiz error handling # Focus on specific aspect
/learn:quiz --hard # More challenging questions
Instructions
- Identify the last code I worked with (wrote, edited, or accepted from AI)
- Generate 3-5 questions that test understanding at different levels:
- Recall: What does this code do?
- Understanding: Why was this approach chosen?
- Application: What would happen if X changed?
- Analysis: What are the trade-offs of this approach?
- Synthesis: How would you extend this?
- Present questions one at a time
- Wait for my answer before revealing the correct response
- Provide explanations with each answer, not just "correct/incorrect"
Question types
Level 1: Recall
- "What does the function X return?"
- "What parameters does Y accept?"
- "What happens when Z is called?"
Level 2: Understanding
- "Why do we use X instead of Y here?"
- "What problem does this pattern solve?"
- "Why is this line necessary?"
Level 3: Application
- "What would happen if we removed line X?"
- "How would you add feature Y to this code?"
- "What would break if input Z was provided?"
Level 4: Analysis
- "What are the performance implications of this approach?"
- "What edge cases might cause issues?"
- "How does this compare to alternative X?"
Level 5: Synthesis
- "How would you refactor this for better testability?"
- "What would need to change to support X?"
- "Design an extension that adds Y"
Focus areas
When focus is specified (e.g., /learn:quiz error handling), prioritize questions about:
| Focus | Question Themes |
|---|---|
error handling |
Try/catch, error types, recovery strategies |
performance |
Big-O, optimization, bottlenecks |
security |
Input validation, XSS, injection |
testing |
Test cases, edge cases, mocking |
architecture |
Patterns, separation of concerns, SOLID |
types |
TypeScript types, inference, generics |
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.
- yesterday First seen · 152 lines · 12 tokens per session scan A 2e982708df21
learn-quiz is a skill published in the GitHub repository FlorianBruniaux/claude-code-plugins (43 stars, last pushed yesterday), licensed MIT. It adds 12 tokens to every session and 920 once invoked, about $0.0000 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 2026-10-29.
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