Borrowing it
Nothing to install: this file belongs to IssacW228/student-llm-wiki. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/IssacW228/student-llm-wiki/main/.claude/skills/exam-prep/SKILL.mdgit clone --depth 1 https://github.com/IssacW228/student-llm-wikiWrote 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/issacw228/student-llm-wiki/exam-prep)<a href="https://agentmods.dev/skills/issacw228/student-llm-wiki/exam-prep"><img src="https://agentmods.dev/badge/skills/issacw228/student-llm-wiki/exam-prep/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/issacw228/student-llm-wiki/exam-prep"><img src="https://agentmods.dev/badge/skills/issacw228/student-llm-wiki/exam-prep.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00069 | $0.00436 |
| Opus 5 | $0.00034 | $0.00218 |
| Sonnet 5 | $0.00014 | $0.00087 |
| Haiku 4.5 | $0.00007 | $0.00044 |
Grade A, and why
exam-prep 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 11d 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.
What it actually says
Exam Prep — 出题
基于薄弱概念生成练习题。 Generate practice questions from weak concepts.
步骤 Steps
- 读
wiki/index.md找到目标课程的所有概念页 - 读这些概念页的 frontmatter，按
confidence排序（low 优先） - 为每个 low/medium 概念生成 1-2 道题
- 保存到
wiki/exam-prep/{course}.md
题目类型 Question Types
混合以下类型，不要全是记忆题:
- 概念应用题: 给一个场景，问该用哪个方法及原因
- 对比题: 两个相关概念的区别和各自适用场景
- 推导题（数学/ML课）: 要求推导或解释公式
- 攻防题（安全课）: 给一个攻击，问防御措施，反之亦然
- 陷阱题: 针对常见误解设计
页面格式 Page Format
---
tags: [exam-prep, {course}]
generated: YYYY-MM-DD
based_on: [concept-pages]
---
# {课程} 练习题 Practice Questions
## Q1: {概念名} (confidence: low)
**题目**: ...
**参考答案**: ...
**相关页面**: [[concept]]
原则 Principles
- 优先 confidence:low 的概念
- 每题标注来自哪个概念页，方便回去复习
- 参考答案要完整，但鼓励用户先自己答
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.
- 11d ago First seen · 48 lines · 69 tokens per session scan A c3a8a776ec0f
exam-prep is a skill published in the GitHub repository IssacW228/student-llm-wiki (176 stars, last pushed 2mo ago), licensed MIT. It adds 69 tokens to every session and 436 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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