yao-weread-skill

yao-weread-skill is a skill for Claude Code, Codex from yaojingang/yao-open-skills. It costs 91 tokens per session (1,096 once invoked), scanned A, original, MIT.

A report generator for WeRead, a Chinese reading app, that turns account data into a Chinese HTML reading report and chart data.

In plain words
What is it for?
Use it to create reading summaries, statistics, charts, reader profiles, note reviews, bookshelf analyses, word clouds, heat maps, radar charts, or an AI-founder sample report.
Why use it?
It combines reading history, notes, highlights, and bookshelf information into a report, while documenting the limits of the available data.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to create reading summaries, statistics, charts, reader profiles, note reviews, bookshelf analyses, word clouds, heat maps, radar charts, or an AI-founder sample report.

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Install with agentmods
npx agentmods add skills/yaojingang/yao-open-skills/yao-weread-skill
About the project

yaojingang/yao-open-skills is a public collection of reusable AI skills for research, decision-making, business analysis, learning, and document creation. It serves people who want repeatable, maintainable AI workflows instead of isolated prompts, and catalogued add-ons are published skills from this collection.

yaojingang/yao-open-skills · 1,314 stars · on GitHub

Install

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.

Any agent
npx skills add yaojingang/yao-open-skills --skill yao-weread-skill
Clone the repo
git clone --depth 1 https://github.com/yaojingang/yao-open-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for yao-weread-skill

README.md
[![agentmods](https://agentmods.dev/badge/skills/yaojingang/yao-open-skills/yao-weread-skill/github.svg)](https://agentmods.dev/skills/yaojingang/yao-open-skills/yao-weread-skill)
Your own site
<a href="https://agentmods.dev/skills/yaojingang/yao-open-skills/yao-weread-skill"><img src="https://agentmods.dev/badge/skills/yaojingang/yao-open-skills/yao-weread-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.

agentmods 80×15 button for yao-weread-skill

Your own site · 80×15
<a href="https://agentmods.dev/skills/yaojingang/yao-open-skills/yao-weread-skill"><img src="https://agentmods.dev/badge/skills/yaojingang/yao-open-skills/yao-weread-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 91 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,096 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00091 $0.01096
Opus 5 $0.00046 $0.00548
Sonnet 5 $0.00018 $0.00219
Haiku 4.5 $0.00009 $0.00110

Measured 12d ago against content hash 95cb00ed6154, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

yao-weread-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 12d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/generate_weread_report.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/yao-weread-skill/SKILL.md · 89 lines

What it actually says

Yao WeRead Skill

从微信读书账号数据生成精排中文 HTML 报告。默认范围为截至今天的最近 24 个月。

输入

  • 环境变量 WEREAD_API_KEY,格式遵循微信读书 skill 的要求。
  • 可选报告范围:--years--start--end
  • 可选笔记深度:--max-note-books;省略或传 0 时处理微信读书返回的全部笔记书籍。
  • 可选输出目录。
  • 可选示例模式:--sample-ai-founder --sample-scale 5,不需要 WEREAD_API_KEY

输出

流程会生成:

  • weread-report.html:参考 kami 排版风格的交互式 HTML 报告。
  • weread-report-data.json:聚合后的图表数据。
  • weread-raw-summary.json:不含密钥的 API 结构和计数摘要,便于复核。

报告还会生成一个读者画像模块:顶部诗性总结、1 条画像金句,以及从近两年划线中筛选出的最多 20 条高价值句子。原始划线和想法仅用于聚合分析与画像筛选。除非用户明确要求分享或发布,否则报告产物应视为私有内容。

工作流

  1. 调用 API 前先阅读微信读书 skill 文档:
    • shelf.md:书架计数、公开/私密规则。
    • readdata.md:阅读时长单位、周期规则、年度/月度字段。
    • notes.md:笔记分页、笔记数计算、划线/想法文本。
    • book.md:仅在需要书籍详情或阅读进度时使用。
  2. 运行 scripts/generate_weread_report.py
  3. 检查生成的 HTML 至少包含 20 个图表面板,没有 TODO、占位文本或内嵌 API key。
  4. 检查矩形树图、热力图、横向条形图等高密度图表没有被默认边距压缩,没有右侧空白导致标签截断。
  5. 检查读者画像模块:金句必须来自画像划线清单第一条;真实账号模式不得编造划线,划线不足 20 条时如实少展示。
  6. 如果用户要求视觉验证,或报告排版有实质变化,使用浏览器打开生成的 HTML,并检查桌面、平板宽度和窄屏宽度。

命令

python3 scripts/generate_weread_report.py --output reports/generated

常用选项:

python3 scripts/generate_weread_report.py \
  --years 2 \
  --max-note-books 0 \
  --output reports/generated

AI 创业者示例报告:

python3 scripts/generate_weread_report.py \
  --years 2 \
  --sample-ai-founder \
  --sample-scale 5 \
  --output reports/generated/ai-founder-sample

报告设计

  • 视觉系统遵循 references/report-design.md
  • 图表模块遵循 references/chart-catalog.md
  • API 字段语义和降级规则遵循 references/data-contract.md
  • 高密度图表必须显式设置容器占满、标签换行/隐藏策略和 resize 监听,避免 ECharts 默认布局留下空白。
  • 内容画像必须基于真实划线文本生成,顶部总结可以使用统计口径生成温暖、诗性但不冒充用户原文的描述。

边界

  • 真实账号模式下,不编造微信读书响应中不存在的阅读事件、笔记文本、评分或分类。
  • AI 创业者示例模式用于在不接入真实账号时生成可复用示例报告。
  • 不导出书籍全文;只使用用户自己的划线/想法,以及微信读书 skill 可访问的元数据。
  • 不存储或打印 WEREAD_API_KEY
  • 无法获得精确滚动日期边界时,必须清楚标注月度或年度近似口径。
Changes

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.

  1. 12d ago First seen · 89 lines · 91 tokens per session scan A 95cb00ed6154

Subscribe to this mod's changes

yao-weread-skill is a skill published in the GitHub repository yaojingang/yao-open-skills (1,314 stars, last pushed 15d ago), licensed MIT. It adds 91 tokens to every session and 1,096 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 2026-08-30.

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