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SKILL verified MIT Self-run

Closed Book Exam Focus

skill-wvov7-course-revision-skills-closed-book-exam-focus · by wvov7

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Install

$ agentstack add skill-wvov7-course-revision-skills-closed-book-exam-focus

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

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@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:

#  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

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.