weread-skills

weread-skills is a skill for Claude Code, Codex from uvwt/agentdock-skills. It costs 29 tokens per session (491 once invoked), scanned A, original, Apache-2.0.

A connector for WeRead, a Chinese reading service for searching books and reading-related content. It can access the connected account's shelf and supported service interfaces.

In plain words
What is it for?
Use it to search books, authors, articles, reading lists, audiobooks and other content, view the current bookshelf, check the connection, list available interfaces, or call an allowed native WeRead interface.
Why use it?
It removes the need to search the service manually or build separate requests for its supported interfaces. It also checks whether the service connection is available before use.

Skill for Claude CodeCodex

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

Good fit Use it to search books, authors, articles, reading lists, audiobooks and other content, view the current bookshelf, check the connection, list available interfaces, or call an allowed native WeRead interface.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/uvwt/agentdock-skills/weread-skills
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 uvwt/agentdock-skills --skill weread-skills
Clone the repo
git clone --depth 1 https://github.com/uvwt/agentdock-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 weread-skills

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/uvwt/agentdock-skills/weread-skills"><img src="https://agentmods.dev/badge/skills/uvwt/agentdock-skills/weread-skills.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 491 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.
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 $0.00029 $0.00491
Opus 5 $0.00015 $0.00246
Sonnet 5 $0.00006 $0.00098
Haiku 4.5 $0.00003 $0.00049

Measured 11d ago against content hash 6a2e4e2c375c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

weread-skills 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 11d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (run.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/weread-skills/SKILL.md · 40 lines

What it actually says

微信读书 Skill

中文别名:微信读书

该 Skill 使用宿主机 weread-skills 能力。API Key 从 ~/.agentdock/env/skill/weread-skills.env 或当前命令显式环境读取,不包含在 Skill 包中。

操作

  • status:验证 API Key 和微信读书 Agent Gateway 可用性。
  • list-apis:列出服务端当前支持接口。
  • search:搜索电子书、作者、文章、书单、听书等。
  • shelf:读取当前账号书架。
  • call:调用原生文档声明的任意微信读书接口,业务参数放在 params 对象中,入口会自动平铺并附加 skill_version

原始能力文档保存在 docs/

辅助脚本执行

Skill 本体是本说明文档。确需调用包内辅助脚本时,在 Skill 包根目录使用相对路径执行;运行宿主负责切换到包根目录并把所需变量注入当前子进程。

printf '%s' '{"skill_action":"<动作>"}' | python3 run.py

输入必须是 JSON 对象。写操作仍按本文档中的确认规则执行。

动作 用途
status 验证微信读书 API Key 与 Agent Gateway 是否可用。
list-apis 列出微信读书 Agent Gateway 当前支持的接口。
search 搜索微信读书内容;scope=10 电子书,0 全部,16 网文,14 听书,6 作者,12 全文,13 书单,2 公众号,4 文章。
shelf 读取当前微信读书账号书架。
call 调用微信读书原生接口;api_name 必须属于允许的微信读书接口前缀,params 会自动平铺。
Files

What ships with it

10 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. 11d ago First seen · 40 lines · 29 tokens per session scan A 6a2e4e2c375c

Subscribe to this mod's changes

weread-skills is a skill published in the GitHub repository uvwt/agentdock-skills (3 stars, last pushed 10d ago), licensed Apache-2.0. It adds 29 tokens to every session and 491 once invoked, about $0.0001 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.

Related

Other skills, from other repositories

claude-md-improver

Audit and improve CLAUDE.md files in repositories. Use when user asks to check, audit, update, improve, or fix CLAUDE.md files. Scans for all CLAUDE.md files, evaluates quality against templates, outputs quality report, then makes targeted updates. Also use when the user mentions "CLAUDE.md maintenance" or "project…

anthropics/claude-plugins-official · 82 tokens

agent-platform-rag-engine-management

Manage and query Agent Platform RAG Engine Corpora and retrieve grounded contexts using the Google GenAI SDK. Use when listing RAG corpora or files, inspecting a corpus, retrieving contexts, or generating content grounded in a RAG corpus. Do not use for standard database queries (use SQL/Spanner skills), Google…

google/skills · 85 tokens

gke-reliability

Improves GKE workload reliability, using PDBs, health probes, and topology spread constraints. Use when configuring GKE workload reliability, setting up PDBs, or configuring GKE health probes (liveness, readiness, startup). Don't use for disaster recovery setup or full cluster backups (use gke-backup-dr instead).

google/skills · 73 tokens

gke-workload-security

Audits, configures, and hardens workload-level security controls for Google Kubernetes Engine (GKE) applications and namespaces. Covers running cluster security audits (auditcluster.sh), configuring Workload Identity Federation (impersonation, KSA/GSA binding, and pod setup), enforcing Network Policies (default-deny…

google/skills · 181 tokens

agent-platform-model-registry

Agent Platform Model Registry Management. Use when you need to upload, list, describe, update, or delete machine learning models (and their versions) in the Agent Platform Model Registry. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform models.

google/skills · 60 tokens

google-cloud-solution-agentic-analytics-spark-knowledge-catalog

Discovers requirements and generates guidance to design and deploy a governed, secure agentic-analytics solution for data that's distributed across Google Cloud, other cloud providers, or on-premises. Data that's outside Google Cloud (such as data from Databricks, Snowflake, Salesforce, SAP, or Oracle systems) is…

google/skills · 138 tokens