quiz-generation

quiz-generation is a skill for Claude Code, Codex from tobyilee/course-builder. It costs 50 tokens per session (1,380 once invoked), scanned A, original, MIT.

A workflow for creating a 5-to-9-question quiz at the end of a course section. It balances levels of thinking, links questions to learning objectives, and explains answers and incorrect choices.

In plain words
What is it for?
Use it to generate a section quiz after all classes in that section are complete.
Why use it?
It creates a consistent end-of-section assessment that tests understanding and application, rather than only recall.

Skill for Claude CodeCodex

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 skills/tobyilee/course-builder/quiz-generation
Any agent
npx skills add tobyilee/course-builder --skill quiz-generation
Clone the repo
git clone --depth 1 https://github.com/tobyilee/course-builder

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for quiz-generation

README.md
[![agentmods](https://agentmods.dev/badge/skills/tobyilee/course-builder/quiz-generation.svg)](https://agentmods.dev/skills/tobyilee/course-builder/quiz-generation)
Your own site
<a href="https://agentmods.dev/skills/tobyilee/course-builder/quiz-generation"><img src="https://agentmods.dev/badge/skills/tobyilee/course-builder/quiz-generation.svg" alt="Measured on agentmods" height="20"></a>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,380 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00050 $0.01380
Opus 5 $0.00025 $0.00690
Sonnet 5 $0.00010 $0.00276
Haiku 4.5 $0.00005 $0.00138

Measured 5d ago against content hash e6fa6f55afce, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

quiz-generation 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 5d 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.

.claude/skills/quiz-generation/SKILL.md · 127 lines

How it starts

The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Quiz Generation — Section-Level Assessment

섹션 끝에서 summative 평가를 수행. class 단위가 아닌 섹션 단위인 이유: class는 formative(배우는 중), section은 summative(개념 연결 평가).

문항 수

  • 5~9개, 10개 절대 금지
  • 기준 공식: round(section_duration / 15), 최소 5, 최대 9
  • 동일 LO에 2문항 허용 (복수 관점 평가)

Bloom 분포 (문항 배분)

Section 유형 Remember Understand Apply Analyze Evaluate Create
입문 섹션 1~2 2 1~2 1 - -
중급 섹션 0~1 1 2 2 1 -
고급 섹션 0 0~1 1 2 1~2 1

필수: Apply+Analyze ≥ 2. 단순 암기 위주 평가 금지.

문항 타입

mcq_single (단일 선택)

  • 선택지 4개 고정
  • 정답 정확히 1개
  • Bloom: Remember~Analyze 모두 가능
{
  "id":"S1.Q1", "type":"mcq_single",
  "stem":"서버 컴포넌트가 포함되지 않는 번들은?",
  "choices":["서버 번들","클라이언트 번들","Edge 런타임","SSR 출력"],
  "correct":["B"],
  "explanation":"서버 컴포넌트는 서버에서만 실행되고 클라이언트 번들에 직렬화된 페이로드만 전달됩니다.",
  "distractor_rationales":{
    "A":"서버 번들에는 포함됩니다 — 오히려 당연",
    "C":"Edge 런타임도 서버 환경의 일종",
    "D":"SSR 출력에도 RSC 결과가 들어갑니다"
  },
  "lo_ids":["LO-1.2"], "bloom":"Understand", "difficulty":3
}

mcq_multi (복수 선택)

  • 선택지 4~5개
  • 정답 2~3개, 선지문에 정답 수 명시 ("다음 중 맞는 것 2개를 고르시오")
  • 채점: 부분점수 or 올오낫싱 명시

true_false

  • 개념 오해 교정용으로만 사용
  • stem은 교과서적 정답이 아닌 학습자가 헷갈리는 명제
  • Bloom은 Understand/Analyze에 한정 (Remember에는 부적합 — 너무 쉬움)

short_answer

  • 자기채점용, rubric 필수
{
  "type":"short_answer",
  "stem":"서버 컴포넌트와 SSR의 차이를 2문장으로 설명하시오.",
  "rubric":[
    "서버 컴포넌트는 클라이언트 번들 제외 (1pt)",
    "SSR은 HTML 문자열을 렌더링 (1pt)",
    "두 기술은 동시 사용 가능 (1pt)"
  ],
  "lo_ids":["LO-1.3"], "bloom":"Analyze"
}

Distractor (오답 선지) 품질

원칙

  • plausible (학습자가 실제로 할 법한 오해)
  • 정답과 길이·디테일 균형
  • 문법적·구조적으로 정답과 동일 패턴

좋은 distractor 생성법

  1. 학습자의 흔한 오개념 수집 (note의 Pitfalls 섹션 참조)
  2. 비슷한 개념과 혼동 유도 (SSR vs RSC vs CSR)
  3. 맞는 말이지만 질문에 답하지 않는 서술

나쁜 distractor

  • "모든 것", "아무것도" (보통 오답)
  • 이상하게 짧거나 긴 것 (정답이 드러남)
  • 명백히 거짓 (학습 가치 없음)

Explanation 규칙

  • 모든 문항 필수
  • 정답 해설 + (mcq류) 각 오답별 왜 틀렸는지
  • 최소 2문장, 최대 5문장
  • 설명이 곧 미니 복습 — 투자 가치 있음

Read the full file on GitHub · 127 lines

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. 5d ago First seen · 127 lines · 50 tokens per session scan A e6fa6f55afce

Subscribe to this mod's changes

quiz-generation is a skill published in the GitHub repository tobyilee/course-builder (22 stars, last pushed 4mo ago), licensed MIT. It adds 50 tokens to every session and 1,380 once invoked, about $0.0003 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 2026-08-30.

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