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 wvov7/course-revision-skills --skill closed-book-exam-focusgit clone --depth 1 https://github.com/wvov7/course-revision-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/wvov7/course-revision-skills/closed-book-exam-focus)<a href="https://agentmods.dev/skills/wvov7/course-revision-skills/closed-book-exam-focus"><img src="https://agentmods.dev/badge/skills/wvov7/course-revision-skills/closed-book-exam-focus/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/wvov7/course-revision-skills/closed-book-exam-focus"><img src="https://agentmods.dev/badge/skills/wvov7/course-revision-skills/closed-book-exam-focus.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 | $0.00062 | $0.00838 |
| Opus 5 | $0.00031 | $0.00419 |
| Sonnet 5 | $0.00012 | $0.00168 |
| Haiku 4.5 | $0.00006 | $0.00084 |
Grade A, and why
closed-book-exam-focus 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.
What it actually says
Closed-Book Exam Focus
闭卷考试考点优先级分析。基于历年试题与课件索引,输出加权考点表及复习优先级。
Applicability
- 闭卷考试前的考点筛选与排序
- 输入需同时包含
@lectureSlides与@oldResource(或等价路径) - 可结合
full-course-highlights产出的页码索引作为交叉引用基础
Output Contract
默认输出 exam_lecture_summary.md 或用户指定文件名:
# <Course> Exam Focus Analysis
## Weighting Method
(说明权重公式与假设)
## Master Topic Table
| Topic | Weight | Past papers | Lecture PDF | Pages | Priority |
|-------|--------|-------------|-------------|-------|----------|
## Review Priority List
1. …
Weighting Rules
须在报告中显式声明所采用的权重规则。推荐信号如下:
| Signal | Weight tier |
|---|---|
| 往年试题高分值 / 大题 | Highest |
| 课件内多页且跨多讲出现 | Highest |
| 任意年份试题出现过 | High |
| 课件内重复出现 | Medium |
| 年份越近 | 累加权重 |
Workflow
1. Resource inventory
- 枚举
lectureSlides/全部 PDF/PPT - 枚举
oldResource/历年卷、quiz、样题 - 扫描件须经 OCR;中间产物存放于
_extracted/
2. Past-paper extraction
- 按年份记录题型结构、分值分布、覆盖知识点
- 为每份试卷分配基础权重(近期年份权重更高)
3. Topic normalization
- 从试题中提取考点短语
- 归一化至统一 taxonomy
- 映射至
(lecture_pdf, page)索引
4. Master table synthesis
- 合并频率、权重、页码指向为单一总表
- 按权重降序排列
- 不确定匹配须标注
pending verification
5. Slide-grounded Q&A(可选扩展)
若用户要求根据课件作答试题或复核答案:
- 结论须附
(PDF filename, page)引用 - 答案须严格基于课件;课件未涵盖的内容须标注为推断
- 批量输出默认写入
answer.md
Constraints
- 不得虚构试题中未出现的考点
- 每条考点须可回溯至具体 PDF 与页码
- 仅保留一张 Master Topic Table,避免重复排序表
Examples
使用 closed-book-exam-focus:@oldResource @lectureSlides 生成 exam_lecture_summary.md,按权重降序列出考点及对应页码。
使用 closed-book-exam-focus,根据课件回答 @期末考试 全部题目并写入 answer.md,每题附 PDF 页码依据。
Short anonymized sample: references/sample-output.md.
Attribution
- Author: JohanHuang2005
- Tool: Cursor Composer 2.5
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.
- 12d ago First seen · 109 lines · 62 tokens per session scan A 403c42398bbb
closed-book-exam-focus is a skill published in the GitHub repository wvov7/course-revision-skills (2 stars, last pushed 1mo ago), licensed MIT. It adds 62 tokens to every session and 838 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 2026-08-31.
Other skills, from other repositories
course-builder
Use whenever the user wants to ingest a new course's materials (lecture notes, textbook chapters, HW problems, HW solutions) and build the course-specific knowledge base — patterns.md (recurring solution techniques), coverage.md (HW-to-section map with 🔥 exam tiers + ⚠weak flags), and summary.md (topic tree). Invoked…
alt-import
Parse an Exam Radar (OPTIMETA Alt plugin) export and fold its lecture-emphasis exam-probability signal into the PAIDEIA course index — write course-index/radar.md, annotate course-index/coverage.md with a lecture-emphasis column and divergence flags, and seed a gold-zone weakmap. Invoked by /paideia:alt. The export…
study-teach
Personalized lecture & explanation sub-skill for a Chinese graduate-exam learner who values step-by-step reasoning, intuitive/visual understanding, strict condition checking, error diagnosis, and exam-oriented transfer. Orchestrated by study-assistant but also usable standalone. Use when the learner wants a…
study-assistant
An exam-preparation tutor that guides learners through study material step by step, in Simplified Chinese. It can organize chapters, teach individual topics, create quizzes, and check understanding.
study-quiz
A quiz and grading workflow for learners who provide exam questions, request a test, submit answers, or review mistakes. It creates question banks, quizzes, grading reports, and a record of recurring errors.
study-feynman
A study helper that checks whether a learner can explain a subject clearly using the Feynman technique. The technique tests understanding by asking someone to explain an idea in simple words to a beginner.