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 skills/melodic-software/claude-code-plugins/quiz-menpx skills add melodic-software/claude-code-plugins --skill quiz-megit clone --depth 1 https://github.com/melodic-software/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/melodic-software/claude-code-plugins/quiz-me)<a href="https://agentmods.dev/skills/melodic-software/claude-code-plugins/quiz-me"><img src="https://agentmods.dev/badge/skills/melodic-software/claude-code-plugins/quiz-me.svg" alt="Measured on agentmods" 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 | $0.00177 | $0.03364 |
| Opus 5 | $0.00088 | $0.01682 |
| Sonnet 5 | $0.00035 | $0.00673 |
| Haiku 4.5 | $0.00018 | $0.00336 |
Grade A, and why
quiz-me 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 — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Purpose
Verify that the human absorbed a completed change, the object under test is the person merging the work, never the artifact. After Claude finishes a change, generate an HTML report of what was done (context, intuition, decisions) with a quiz at the bottom the user answers. The failure mode this addresses: people glaze over plans and explainers, so the human merging a PR cannot represent the change to a reviewer and their mental model of the codebase decays, degrading future prompting.
Three value props:
- Representation accountability. Can the user explain this change to a reviewer?
- Loop retention. Keeping the user's mental model of the codebase current keeps their prompting sharp.
- Late intent-mismatch detection. A failed quiz surfaces "that's not what I intended" while there is still time to fix it, before merge.
Use when: the user asks to be quizzed on completed work, or to recall past work
(quiz me, do I understand this change, what did we do on <ticket>). Skip when:
the request is to verify the artifact (does it work / is it right), to extract the user's
intent before work starts, or to coach a general subject, see "What this skill does NOT
do". This skill auto-invokes (no disable-model-invocation) so policy-driven offers can
fire; /education:quiz-me is the guaranteed path.
Effective configuration (substituted at load)
The values below substitute from this plugin's stored configuration when this skill loads.
A surviving literal ${user_config.…} placeholder means that key is unset, apply its
documented unset behavior.
| Key | Value | Unset behavior |
|---|---|---|
quiz_policy |
${user_config.quiz_policy} |
on-request. Act only when invoked. Values govern OFFER CADENCE only (see "Non-gating posture"). Unknown value → treat as on-request. |
report_library_dir |
${user_config.report_library_dir} |
unset → artifacts land under ${CLAUDE_PLUGIN_DATA} (see "Retention mechanics"). Set to a corpus checkout to redirect the library root there. |
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 215 lines · 177 tokens per session scan A b72e38ad8d70
quiz-me is a skill published in the GitHub repository melodic-software/claude-code-plugins (14 stars, last pushed yesterday), licensed MIT. It adds 177 tokens to every session and 3,364 once invoked, about $0.0009 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 2026-09-03.
Other skills, from other repositories
count-combinations
For probability and counting: permutations, combinations, sample spaces, Monte Carlo simulation, brute-force enumeration, card/dice problems.
solve-constraint-puzzle
For constraint satisfaction: Sudoku, scheduling, N-queens, logic puzzles, SAT-like problems, assignment problems. Uses propagate-then-search pattern.
complete
複数の媒体（レポート・コード等）にまたがる大学の課題を，出題文・採点基準に照らして過不足なく仕上げる．要求を媒体へ割り当て，assignment プラグインの対応スキルへ委譲し，媒体間の継ぎ目を走査して一つの提出物として確定する．「この課題をやって」「課題を完璧に仕上げて」など，課題まるごとを任されたときに使う（単一媒体なら /assignment:report ・ /assignment:program を直接使う）．.
report
課題のレポート・小論文部分を，出題文・採点基準の要求を過不足なく満たす形で執筆する．「レポートを書いて」「この設問に答えて」など，課題文書の執筆を求められたときに使う（既存文書の推敲だけなら /refine:docs を使う）．.
career-junior-onboarding
신입·주니어가 첫 90일을 스스로 설계하도록 돕는 온보딩 코칭 스킬입니다. "신입인데 뭘 해야 할지 모르겠어", "첫 출근 준비", "질문하는 법 알려줘", "사수가 없어", "일 빨리 배우고 싶어"처럼 요청할 때 사용하세요. 입사 전 준비 → 첫 90일 정보 비대칭 해소 → 질문 3요소 프레임 → 보고 기술 → 사수 없이 성장하기 → 생산성 로드맵까지 단계별 워크플로우와 90일 온보딩 플랜, 질문 템플릿, 셀프 온보딩 체크리스트를 제공합니다.
phpunit-migration-test-reviewing
Internal sub-skill. Do not auto-activate. Use only when explicitly invoked by name by another skill or agent.