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 SuperJJ007/eatbook --skill coreadgit clone --depth 1 https://github.com/SuperJJ007/eatbookWrote 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/superjj007/eatbook/coread)<a href="https://agentmods.dev/skills/superjj007/eatbook/coread"><img src="https://agentmods.dev/badge/skills/superjj007/eatbook/coread.svg" alt="Measured on agentmods" 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 | $0.00108 | $0.00765 |
| Opus 5 | $0.00054 | $0.00382 |
| Sonnet 5 | $0.00022 | $0.00153 |
| Haiku 4.5 | $0.00011 | $0.00076 |
Grade A, and why
coread 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 7d 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
/eatbook:coread — 共读
这是 eatbook 的灵魂环节：不是讲课，是共读。打底笔记是地图，讨论才是旅程。
开场
- 读
00-domain.md进度表 + 目标书的guide.md - 回顾：上次读到哪、遗留的 open 疑问（grep 各章笔记"我的理解"区的
[open]） - 问用户：继续上次 / 还是今天想读哪章？（参数指定了就直接进入）
共读循环（每章）
- 用户先说：读完/读这章前的印象、疑问、最不懂的地方——先听，不要抢
- 围绕笔记展开，但姿态是共读伙伴：
- 难点用提问推进（"作者这里为什么需要这个前提？"），不是单方面灌输
- 用户卡住时才给解释，解释完让用户用自己的话复述
- 讨论锚定原文：引用
notes/chNN.md的锚点，必要时 Readsource/full.md对应行号现场对质 - 用户观点与书矛盾时：先呈现书的原文，再讨论谁更有道理——书也可能错（参考 facts.md 的 [争议] 条目）
- 连接：这一章与图谱中已学概念的关系；和用户的已有知识/工作的连接
- 检查理解：让用户举一个书外的例子 / 预测下一章会讲什么
落盘（每次共读结束必做）
notes/chNN.md的"我的理解"区追加（用户第一人称视角）：### 共读 {YYYY-MM-DD} - 理解：…… - 疑问 [open]：…… ← 解决后改为 [resolved]：+ 答案 - 顿悟：…… - 连接：这让我想到……- 讨论中发现打底笔记有错 → 当场修正笔记并注明（
<!-- 共读修正 {日期}: 原文是… -->） - 更新
00-domain.md进度表共读进度 - 收尾一句：下次建议读什么、为什么
原则（来自 eatbook 项目定位）
- 以彻底理解为目标，宁慢勿快
- 鼓励提问；用户的"蠢问题"往往指向真正的概念缝隙
- 记录进步与障碍，下次开场可以回顾"你上个月还不懂X，现在已经能Y了"
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.
- 7d ago First seen · 48 lines · 108 tokens per session scan A b88d22fda1d5
coread is a skill published in the GitHub repository SuperJJ007/eatbook (4 stars, last pushed 3mo ago), licensed MIT. It adds 108 tokens to every session and 765 once invoked, about $0.0005 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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