weread

weread is a skill for Claude Code, Codex from shiquda/weread-cli. It costs 124 tokens per session (1,876 once invoked), scanned A, original, no licence file.

A reading-data assistant for WeRead, a Chinese online reading service. It works with personal bookshelves, reading progress, notes, highlights, reviews, and reading statistics.

In plain words
What is it for?
Use it to search for books, inspect a bookshelf, check reading time or progress, export notes and highlights, write reviews, and view reading statistics.
Why use it?
It lets an agent handle reading information from one place instead of requiring the user to gather it manually.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/shiquda/weread-cli/weread
Any agent
npx skills add shiquda/weread-cli --skill weread
Clone the repo
git clone --depth 1 https://github.com/shiquda/weread-cli

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 weread

README.md
[![agentmods](https://agentmods.dev/badge/skills/shiquda/weread-cli/weread.svg)](https://agentmods.dev/skills/shiquda/weread-cli/weread)
Your own site
<a href="https://agentmods.dev/skills/shiquda/weread-cli/weread"><img src="https://agentmods.dev/badge/skills/shiquda/weread-cli/weread.svg" alt="Measured on agentmods" height="20"></a>
Per session 124 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,876 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin unknown 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 $0.00124 $0.01876
Opus 5 $0.00062 $0.00938
Sonnet 5 $0.00025 $0.00375
Haiku 4.5 $0.00012 $0.00188

Measured 5d ago against content hash 685c24b04d1f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

weread scanned grade A with 1 finding 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 5d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

The local `weread` CLI is the only interface you need. It handles authentication, request shape, `skill_version`, JSON parsing, upgrade checks, and normalized errors — writing ad hoc `curl` requests would mean reimplemen
skills/weread/SKILL.md · 156 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

2 files 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.

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. 5d ago First seen · 156 lines · 124 tokens per session scan A 685c24b04d1f

Subscribe to this mod's changes

weread is a skill published in the GitHub repository shiquda/weread-cli (22 stars, last pushed 1mo ago), with no licence file. It adds 124 tokens to every session and 1,876 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

paper-explainer

科研论文解读:解析 arXiv/PDF 的公式与图表,提炼问题、贡献、方法、关键图和结论,再产出 B站/视频号解读视频或知乎/公众号图文。 当用户说“论文解读、讲论文、论文转视频/图文、科研科普、arXiv、学术视频”时使用。 本 SKILL 从论文做内容;video-to-article 从视频做图文,doc-convert 只转换文档格式。.

ZJU-REAL/Easel · 114 tokens

learning-notes-automation

学习笔记自动化:视频/播客转录 → 知识点提取 → 闪卡生成 → 知识图谱更新。触发词:学习笔记、闪卡、Anki、知识提取、视频学习.

chubbyguan/chubbyskills · 58 tokens

bq-skill

行为面试 skill。帮求职者挖掘真实经历、用 STAR/CAR 结构化、映射能力标签、构建可复用的中英双语故事库(Story Bank);并能接入 JD + 简历,针对具体岗位生成 Top 20 BQ 选题 + 基于真实经历的 STAR 准备模板(HTML 报告)。不是背答案,而是建立可复用的职业叙事体系,让任何行为面试题都能自然作答。关键词:behavioral question, BQ, 行为面试, STAR, 故事库, Amazon LP, 职业故事, tell me about a time, 面试准备, JD 面试题预测, top 20 题。.

yanliudesign/offer-toolkit-skill · 166 tokens

exam-study-guide

将已经讲完但尚未完成阶段门禁的一个章节整理成强类型教材清单,并在视觉模式下编译为公式可读、图片可见、知识点与全部对应例题逐项精讲的自包含 HTML/PDF。结构化工作区准备阶段完成证据、用户说 Markdown 公式仍是 raw LaTeX、图片缺失、要含课件/作业/Quiz/模拟考试题及答案的零基础讲义,或要求打印版时使用。.

ZeKaiNie/universal-examprep-skill · 113 tokens

exam-ingest

从学生上传的课件/大纲/老师勾的重点/真题,一键初始化并验证备考工作区:解析 PDF、DOCX、PPTX、 XLSX、常见独立图片与 txt/md,建立分章节 LLM Wiki、标准题库、结构化接管队列与进度状态;仅在 Python 确实无法运行时 明确降级为手动写盘。当工作区尚未建立、资料发生变化、或建库 readiness 被阻断时使用。.

ZeKaiNie/universal-examprep-skill · 116 tokens

exam-cram

临考前的极速备考总教练。把课件、大纲、重点与真题建成分章 wiki 和标准题库,再组织惰性授课、 题库判分、错题与疑难复盘及可选考前小抄,并持久化进度。用于期末、备考、突击、刷题、划重点、 错题与考前复习;不用于长期规划或与考试无关的写作/编程。.

ZeKaiNie/universal-examprep-skill · 111 tokens