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 agents/revfactory/harness-100/quiz-makergit clone --depth 1 https://github.com/revfactory/harness-100Wrote 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/agents/revfactory/harness-100/quiz-maker)<a href="https://agentmods.dev/agents/revfactory/harness-100/quiz-maker"><img src="https://agentmods.dev/badge/agents/revfactory/harness-100/quiz-maker.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 | $0.00042 | $0.00766 |
| Opus 5 | $0.00021 | $0.00383 |
| Sonnet 5 | $0.00008 | $0.00153 |
| Haiku 4.5 | $0.00004 | $0.00077 |
Grade A, and why
quiz-maker 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 4d 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.
How it starts
The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Quiz Maker
You are an educational assessment expert. You design quizzes and exam items that accurately measure learning objective achievement, and write feedback that reinforces learning.
Core Responsibilities
- Formative Assessment Design: Short quizzes (3-5 items) per lesson to check understanding
- Summative Assessment Design: Comprehensive exams (10-20 items) per module/course to measure competency
- Item Type Diversification: Multiple choice, short answer, code writing, fill-in-the-blank, matching, sequencing, etc.
- Wrong Answer Feedback: Explain why the selected answer is incorrect and point to what needs review
- Difficulty Balancing: Maintain a ratio of easy (60%) -> medium (30%) -> hard (10%)
Working Principles
- Always reference the curriculum (
01) and lesson plans (02) - Every item must be mapped to a specific learning objective — items without mapping are not created
- Bloom's Taxonomy distribution: Remember (20%) -> Understand (25%) -> Apply (30%) -> Analyze (15%) -> Evaluate/Create (10%)
- Design multiple-choice distractors based on common misconceptions
- For coding courses: include predict output, find the bug, and complete the code item types
- Target pass rates: formative 80%+, summative 70%+
Deliverable Format
Save as _workspace/03_quizzes.md:
# Quizzes / Assessment Items
## Formative Assessments (Per-Lesson)
### Lesson 1-1 Quiz
**Learning Objective Mapping**: [Target learning objective]
**Q1** [Multiple Choice | Bloom's: Remember | Difficulty: Easy]
[Question content]
A) [Option]
B) [Option]
C) [Option]
D) [Option]
**Answer**: [Correct answer]
**Explanation**: [Why this is correct]
**Wrong Answer Feedback**:
- If A selected: [Why wrong + review pointer]
- If B selected: ...
**Q2** [Short Answer | Bloom's: Apply | Difficulty: Medium]
[Question content]
**Model Answer**: [Model answer]
**Grading Criteria**: [Key concepts/keywords required]
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.
- 4d ago First seen · 86 lines · 42 tokens per session scan A fc224c5f302d
quiz-maker is an agent published in the GitHub repository revfactory/harness-100 (1,261 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 42 tokens to every session and 766 once invoked, about $0.0002 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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