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 Youxuuuuu/co-reading-kit --skill skillgit clone --depth 1 https://github.com/Youxuuuuu/co-reading-kitWrote 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/youxuuuuu/co-reading-kit/skill)<a href="https://agentmods.dev/skills/youxuuuuu/co-reading-kit/skill"><img src="https://agentmods.dev/badge/skills/youxuuuuu/co-reading-kit/skill.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 | $0.00000 | $0.00622 |
| Opus 5 | $0.00000 | $0.00311 |
| Sonnet 5 | $0.00000 | $0.00124 |
| Haiku 4.5 | $0.00000 | $0.00062 |
Grade A, and why
skill 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
AI 使用规则
- 不要读取
original.md。 - 默认一次只读一个 chunk。
- 有原文、划线、引用时，优先使用
reading_search_exact。 - 主题词搜索使用
reading_search。 - 继续阅读时，优先使用
reading_resume_book。 - 需要查看本地切片地图时，使用
reading_get_manifest。 - 想看“我有哪些书”或不确定
bookId时，先用reading_list_books。 - 讨论后先调用
reading_update_note，再调用reading_update_progress。 - notes 只保存理解、想法、关联和下次入口，不要保存整段正文。
- 不要重复记录同一条划线。
- 如果 progress 不存在但用户想从头读，先用
reading_get_manifest找ch000，再用reading_get_chunk。 - 导入本地
epub/txt/md时，使用reading_import_book。 - 如果导入后马上要搜索，设置
buildIndex=true或调用reading_build_index。 reading_get_manifest不是正文读取工具，它不读取original.md，也不读取 chunk 正文。- 用户提供微信读书划线时，优先使用
reading_find_weread_context。 - 如果找不到
localBookId，先调用reading_link_weread_book，或让用户提供本地bookId。 reading_find_weread_context只做 exact 定位，不做语义猜测。- 找到 chunk 后再共读。
- 当内容来自微信读书
markText、用户明确引用的原文，或reading_find_weread_context返回的划线定位结果时，必须写入“摘录与想法”。 - “摘录与想法”用于记录：微信读书划线、用户手动指出的一句话、围绕某句或某段原文展开的讨论，以及
quoteText/wereadMarkText/ 本地chunkId/ 用户想法 / AI 理解。 - “段落共读记录”只用于记录：读完某个 chunk 后的整体讨论、没有明确摘录句子的段落理解、某个情节/人物关系/主题的整体分析。
- “交叉关联”只用于记录：跨书关联、作者背景关联、主题互文、后续可回看的简短关联线索。
- 禁止把微信读书划线分析、具体摘录分析、大段正文讨论写进“交叉关联”。
- 只搜索但没有展开讨论时，不写入 notes。
- 不要把整段 chunk 原文完整写入 notes。
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 · 28 lines · 0 tokens per session scan A 42b7e3f627bc
skill is a skill published in the GitHub repository Youxuuuuu/co-reading-kit (65 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 622 tokens. 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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