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 cabbage2000-lab/textbook-writer-skills --skill textbook-exercisesgit clone --depth 1 https://github.com/cabbage2000-lab/textbook-writer-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/cabbage2000-lab/textbook-writer-skills/textbook-exercises)<a href="https://agentmods.dev/skills/cabbage2000-lab/textbook-writer-skills/textbook-exercises"><img src="https://agentmods.dev/badge/skills/cabbage2000-lab/textbook-writer-skills/textbook-exercises/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/cabbage2000-lab/textbook-writer-skills/textbook-exercises"><img src="https://agentmods.dev/badge/skills/cabbage2000-lab/textbook-writer-skills/textbook-exercises.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 | $0.00149 | $0.02123 |
| Opus 5.5 | $0.00060 | $0.00849 |
| Sonnet 5.5 | $0.00030 | $0.00425 |
| Haiku 4.5 | $0.00015 | $0.00212 |
Grade A, and why
textbook-exercises 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
textbook-exercises
生成三类题（示范例题/引导练习/独立习题），每道题带 Bloom 层级标注，每道题的答案都经过验证才输出。学科无关的设计与验证纪律见 references/exercise-design.md；本次出题的题型集与每型的验证手段取自输入契约 学科档案 指定的档案第 2 节（规格与索引见 ../textbook/references/subject-profile-spec.md）。
作者提供现有材料时，按 ../textbook/references/source-material-workflow.md 第 3 节从指定片段出题；材料中的现成答案只作为待核对象，不能代替本 skill 的验证。
何时不触发
- 题型在所用档案第 2 节里没有对应验证手段的（如
stem档案下的文科论述题、案例分析题）——按 exercise-design.md 第 7 节反模式 5 处理：改出档案内最接近的题型（stem档案下改概念辨析题）并在输出中说明替换 - 组卷/试卷排版（本 skill 只产题目内容）
- 与教材无关的一般性问答
两种调用模式
-
被 textbook-chapter 调用（常规）：输入 = 契约
{章上下文, 题目计划, 术语表, 学科档案, 素材片段[]}（字段定义见 ../textbook/references/handoff-contract.md 第 2 节）。按题目计划逐条生成，不多不少；无素材时传空数组。 -
独立触发：一轮问清
{主题, 读者水平, 三类题各要几道, 期望 Bloom 层级分布}（用户已说明的不重复问）；按主题自行判定学科档案（索引见 subject-profile-spec.md 第 5 节，找不到匹配项按该文档第 7 节处理：说明将按最接近的档案处理并指出差异），并在输出开头说明用了哪份档案；术语自拟并保持内部一致；编号中的章号默认取 1，用户指定章号则从之。独立素材出题时直接读取用户已给的可访问材料，只追问缺失的素材位置或确实影响出题的条件。先给每份材料编来源 ID，再按来源段落提取
素材片段[]；输出题目时沿用同一 ID 和原文位置。无法访问原文时不装作已读。可指定“仅基于素材”，此时题面内容不得超出材料覆盖范围，覆盖不足就说明可出的题量或层级限制。
生成流程（每道题走完 1–4 才算完成一道）
-
设计题面：题型从档案第 2 节的题型集里选（表外的题型不出，见"何时不触发"），支撑纪律按 references/exercise-design.md 第 4 节，具体教学动作按档案第 4 节；对照题目计划的主题与 Bloom 层级，层级判定标准查 ../textbook-outline/references/bloom-levels.md 第 4 节（同题多问取最高层，歧义就低不就高；六层对照标尺在档案第 3 节）。 素材模式下，涉及特定引文、案例或统计数值的题干附素材 ID 与原文位置，题目能回指到实际读过的片段；素材不足时不虚构细节。
-
同步写完整解答：示范例题 = 逐步推导每步一行理由；引导练习 = 提示阶梯（提示 1 方向 → 提示 2 关键步骤）+ 完整解答；独立习题 = 参考答案或含关键中间结果的解题路径。禁止先攒题后补答案。
-
验证（红线，不可省略）：到档案第 2 节查该题型的「验证手段」列，照它执行；执行不了时照同一行的「无法验证时的降级」列处理，不自行发明第三种做法。两条与学科无关的硬纪律：
- 验证必须走与解答不同的路径——沿同一条路径重走一遍，重复的是同一个错误，等于没验证；
- 档案里每型的「验证手段」列都非空，即没有任何题型可以跳过验证（spec 第 2 节）。
-
处理验证结果：核对一致 → 标
✅ 已验证（<方式>）；不一致 → 修题或修解答后重新验证；连续 2 次验证失败 → 弃题换题。手段与降级路径都走不通（如开放性探究题）→ 标⚠️ 需作者确认（<原因>），绝不假装已验证。
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.
- 8d ago Changed · +6 lines · -2 tokens per session 66ab0ec07075
- 1mo ago Changed · +4 lines · +30 tokens per session dfb57f4464a4
- 1mo ago First seen · 45 lines · 121 tokens per session scan A 98c053124391
textbook-exercises is a skill published in the GitHub repository cabbage2000-lab/textbook-writer-skills (39 stars, last pushed 9d ago), licensed MIT. It adds 149 tokens to every session and 2,123 once invoked, about $0.0006 per session on Opus 5.5. 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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