weread-shelf

weread-shelf is a skill for Claude Code, Codex from flybear16/weread-shelf. It costs 111 tokens per session (939 once invoked), scanned A, original, MIT.

A command-line skill that loads a WeRead bookshelf into DuckDB, a local database that supports SQL queries. WeRead is a digital reading service, and the skill can analyze shelf data, export it, or join it with another database.

In plain words
What is it for?
Checking reading progress, recent books, categories, authors, and completion rates; exporting shelf data; and joining it with another SQLite database.
Why use it?
It turns reading history into queryable data, avoiding manual browsing and making statistics or cross-source comparisons easier to reproduce.

Skill for Claude CodeCodex

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

Good fit Checking reading progress, recent books, categories, authors, and completion rates; exporting shelf data; and joining it with another SQLite database.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/flybear16/weread-shelf/skill
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 flybear16/weread-shelf --skill skill
Clone the repo
git clone --depth 1 https://github.com/flybear16/weread-shelf

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-shelf

README.md
[![agentmods](https://agentmods.dev/badge/skills/flybear16/weread-shelf/skill/github.svg)](https://agentmods.dev/skills/flybear16/weread-shelf/skill)
Your own site
<a href="https://agentmods.dev/skills/flybear16/weread-shelf/skill"><img src="https://agentmods.dev/badge/skills/flybear16/weread-shelf/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 weread-shelf

Your own site · 80×15
<a href="https://agentmods.dev/skills/flybear16/weread-shelf/skill"><img src="https://agentmods.dev/badge/skills/flybear16/weread-shelf/skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 111 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 939 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 $0.00111 $0.00939
Opus 5.5 $0.00044 $0.00376
Sonnet 5.5 $0.00022 $0.00188
Haiku 4.5 $0.00011 $0.00094

Measured 2mo ago against content hash 4788c1145ce8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

weread-shelf 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 2mo 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.

weread_shelf/skill/SKILL.md · 100 lines

How it starts

The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.

WeRead-Shelf — SQL-ify your 微信读书

The local weread-shelf CLI is the entry point. It loads weread CLI's JSON export into a local DuckDB cache, then exposes SQL queries.

When to use

User says:

  • "查我微信读书的 XX" / "我的书架" / "完读率" / "最近读了什么"
  • "用 SQL 分析我的读书数据"
  • "把 weread 和 XX db 关联起来" / "join weread"
  • "我的读书画像 / 统计 / 报告"

Quick Start

# 0. Verify environment
weread-shelf doctor

# 1. Pull latest shelf into DuckDB
weread-shelf sync

# 2. Run preset analysis
weread-shelf analysis

# 3. Custom SQL
weread-shelf sql "SELECT category, COUNT(*) FROM shelf GROUP BY 1 ORDER BY 2 DESC"

# 4. Cross-source join (e.g. attach xiaozhi device db)
weread-shelf join xz /path/to/xiaozhi.db
weread-shelf sql "SELECT s.title, x.last_active FROM shelf s LEFT JOIN xz.devices x ON x.user_id = s.book_id"

Pre-built Queries

Available via weread-shelf <command>:

Command Returns
analysis Full portrait (overall + by-category + recent + top authors)
sql "<query>" Arbitrary SQL
export <path> --format parquet|csv|json Dump shelf
join <alias> <path> Attach external SQLite

The internal shelf table schema:

shelf (
    book_id         VARCHAR PRIMARY KEY,
    title           VARCHAR NOT NULL,
    author          VARCHAR,
    category        VARCHAR,    -- e.g. '经济理财-管理'
    finish_reading  INTEGER,    -- 0 or 1
    read_update_at  TIMESTAMP,
    update_at       TIMESTAMP,
    cover           VARCHAR,
    deep_link       VARCHAR
)

Cross-source Join

weread-shelf join <alias> <path-to-sqlite> attaches any local SQLite db.

Common join keys:

  • bookId ↔ user-id in app DBs (xiaozhi, sbti-tools etc.)
  • title ↔ product-name (lowercased match)
  • category ↔ tag

Rules

  1. Always run sync first if the user added new books since last query.
  2. Prefer preset queries over raw SQL for simple metrics — they encode domain knowledge (e.g. category is '-'-delimited).
  3. For agent use, prefer sql with structured JSON output: weread-shelf sql "..." --format json --output /tmp/result.json
  4. Cache file is local at ~/.weread-shelf/cache.duckdb. Safe to delete for a fresh re-sync.
  5. Never write to shelf from MCP/SQL — read-only by design. To refresh, run weread-shelf sync.

Read the full file on GitHub · 100 lines

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. 2mo ago First seen · 100 lines · 111 tokens per session scan A 4788c1145ce8

Subscribe to this mod's changes

weread-shelf is a skill published in the GitHub repository flybear16/weread-shelf (0 stars, last pushed 3mo ago), licensed MIT. It adds 111 tokens to every session and 939 once invoked, about $0.0004 per session on Opus 5.5. 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

weread-shelf compared with skills from other repositories

weread-shelf next to 6 skills from other repositories
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weread-shelfflybear16/weread-shelfSkill03mo agoMITA111Claude Code, Codex
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