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 mebusw/awesome-jackyshen-skills --skill jackyshen-design-quizgit clone --depth 1 https://github.com/mebusw/awesome-jackyshen-skillsWrote 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/mebusw/awesome-jackyshen-skills/jackyshen-design-quiz)<a href="https://agentmods.dev/skills/mebusw/awesome-jackyshen-skills/jackyshen-design-quiz"><img src="https://agentmods.dev/badge/skills/mebusw/awesome-jackyshen-skills/jackyshen-design-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/mebusw/awesome-jackyshen-skills/jackyshen-design-quiz"><img src="https://agentmods.dev/badge/skills/mebusw/awesome-jackyshen-skills/jackyshen-design-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 | $0.00048 | $0.01260 |
| Opus 5 | $0.00024 | $0.00630 |
| Sonnet 5 | $0.00010 | $0.00252 |
| Haiku 4.5 | $0.00005 | $0.00126 |
Grade A, and why
jackyshen-design-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 12d 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 — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Quiz Generator for Training
Create effective quiz questions that measure learning outcomes and validate knowledge application.
Quiz Design Process
1. Align with Learning Outcomes
Start with learning outcomes, not topics. Map each outcome to question types:
| Learning Outcome | Question Type | Example |
|---|---|---|
| Apply [model] to [skill] | Scenario-based | Given [context], what would you do? |
| Distinguish concepts | Multiple choice | Which [concept] fits this situation? |
| Analyze using framework | Application | Which phase is happening in this dialogue? |
| Design action plan | Case analysis | Given this profile, what would you do? |
2. Ensure MECE Coverage
Cover all key topics without overlap:
[Topic] Coverage
├── Module 1: [Category] - X questions
├── Module 2: [Category] - X questions
└── Module 3: [Category] - X questions
Verify: proportional coverage per module, no gaps, minimal overlap, balanced difficulty.
3. Select Question Types
Multiple Choice (Single Answer)
- Best for: Testing concepts, models, frameworks
- 3-5 options, one clearly correct answer
- Avoid "all of the above" or "none of the above"
Multiple Response (Select All)
- Best for: Nuanced understanding, multiple correct approaches
- Specify how many options are correct
- All correct options must be equally valid
Scenario/Case-Based
- Best for: Application, judgment, higher-order thinking
- Provide realistic scenario, ask "what would you do?"
- Make relevant to learners' context
True/False
- Best for: Quick checks, clarifying misconceptions
- Statements clearly true or false
- Test important concepts, not trivia
Fill-in-the-Blank
- Best for: Key terms, models, frameworks
- Blanks have unique correct answers
- Provide sufficient context
Open-Ended/Essay
- Best for: Deep understanding, synthesis, personal application
- Provide clear evaluation criteria
- Use for higher-level learning (Bloom's evaluate/create)
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.
- 12d ago First seen · 214 lines · 48 tokens per session scan A c949ba4f11b7
jackyshen-design-quiz is a skill published in the GitHub repository mebusw/awesome-jackyshen-skills (4 stars, last pushed 4mo ago), licensed MIT. It adds 48 tokens to every session and 1,260 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 2026-08-31.
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