Closed Book Full Course Highlights
>-
Install
$ agentstack add skill-wvov7-course-revision-skills-closed-book-full-course-highlights ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-wvov7-course-revision-skills-closed-book-full-course-highlights) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
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 →About
Closed-Book Full-Course Highlights
闭卷考试全课要点汇总。按课件原始顺序逐讲、逐页提取知识点，标注重复出现的高优先级主题。
Applicability
- 闭卷复习第一阶段：建立全课知识覆盖清单
- 需对
@lectureSlides全部 PDF 逐页处理 - 可与
closed-book-exam-focus联用：本 skill 提供 Part 1 概括，后者提供考点权重
Output Contract
默认输出 exam_lecture_stat.md（Part 1 部分）或独立文件：
# Full-Course Highlights
## Lecture N:
**Learning objectives**: …
**Topics by page range**:
1. P1–P3: … [priority marker]
2. P4–P8: …
Priority marker: repeated across multiple pages within or across lectures.优先级标记规则：同一概念在多页出现须标注为高优先级；单页单次出现可简写但不得删除。
Workflow
1. Slide extraction
- 逐页读取全部 PDF/PPT
- 图文并重：表格、示意图、截图须文字化
- 记录
(lecture_file, page)供后续考点映射引用 - 扫描件或稀疏文本页须 OCR 或渲染后识别
2. Per-lecture summarization
- 按 PDF 文件名 / 讲次原始顺序组织
- 不按逻辑重排（逻辑重排见
single-lecture-analysis） - 每讲包含：学习目标、按页码区间的要点列表
3. Priority annotation
- 统计各概念在课件中的出现页数
- 跨页重复：标注高优先级
- 单页单次：简要记录，保留完整性
4. Large-course execution
课件数量较大时：
- 批量提取至
_extracted/（JSON 或 Markdown，含页码元数据） - 分批生成各讲 summary
- 合并为单一报告
Constraints
- 不得跳过任何页面
- 不得省略边缘知识点
- 页码区间须连续、无重叠遗漏
- 与
single-lecture-analysis区分：本 skill 覆盖全课、按原序；后者深入单讲、按逻辑重组
Examples
使用 closed-book-full-course-highlights：@lectureSlides 逐页概括全部课件要点，多页出现的概念标注高优先级，输出 exam_lecture_stat.md。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.
- Author: wvov7
- Source: wvov7/course-revision-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
Reviews
No reviews yet, be the first.
Write a review
Versions
- v0.1.0 Imported from the upstream source.