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-full-course-highlightsgit 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-full-course-highlights)<a href="https://agentmods.dev/skills/wvov7/course-revision-skills/closed-book-full-course-highlights"><img src="https://agentmods.dev/badge/skills/wvov7/course-revision-skills/closed-book-full-course-highlights/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-full-course-highlights"><img src="https://agentmods.dev/badge/skills/wvov7/course-revision-skills/closed-book-full-course-highlights.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 | $0.00061 | $0.00751 |
| Opus 5 | $0.00030 | $0.00376 |
| Sonnet 5 | $0.00012 | $0.00150 |
| Haiku 4.5 | $0.00006 | $0.00075 |
Grade A, and why
closed-book-full-course-highlights 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 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：
# <Course> Full-Course Highlights
## Lecture N: <title>
**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
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 · 90 lines · 61 tokens per session scan A 60a459fc65f8
closed-book-full-course-highlights is a skill published in the GitHub repository wvov7/course-revision-skills (2 stars, last pushed 1mo ago), licensed MIT. It adds 61 tokens to every session and 751 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.
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