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/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/youxuuuuu/co-reading-kit/skill"><img src="https://agentmods.dev/badge/skills/youxuuuuu/co-reading-kit/skill.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 | $0.00000 | $0.00622 |
| Opus 5.5 | $0.00000 | $0.00249 |
| Sonnet 5.5 | $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 1mo 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.
- 1mo 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 (77 stars, last pushed 4mo 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.
Other skills, from other repositories
hr-onboarding
A new-hire onboarding plan as a single page — first week schedule, buddy + manager intro, learning track, equipment checklist, and "you're set when…" outcomes. Use when the brief mentions "onboarding", "new hire", "first week plan", or "入职".
book-mirror
Take any book (EPUB/PDF), produce a personalized chapter-by-chapter analysis. Each chapter is preserved in detail (The Chapter) and mirrored back to the reader's actual life (The Mirror) using brain context. The mirror observes and resonates — a friend pointing out parallels, NOT a consultant rearranging the reader's…
lean-formalize
Develop and verify a mathematical proof in Lean, continue an incomplete Lean project, or audit whether it proves the original statement. Connect actual inputs to intermediate lemmas, assemble the target theorem, check its transitive axioms, and provide a reproducible handoff. Use when Lean is requested or a specific…
exam-forecast
Analyze past exams from the same professor to surface patterns — subject weighting, recurring issue-spot traps, favored hypo types, policy-vs-doctrine mix — and forecast likely emphases for the upcoming exam. Use when the user says "what's on the exam", "analyze past exams", "predict the exam", or shares past exams.
eli5
Explain research, papers, or technical ideas in plain English with minimal jargon, concrete analogies, and clear takeaways. Use when the user says "ELI5 this", asks for a simple explanation of a paper or research result, wants jargon removed, or asks what something technically dense actually means.
deck-course-module
A course or workshop slide template with persistent learning goals, teaching pages, multiple-choice self-tests, and a wrap-up.