agentmods.dev

capture

A command-line pipeline for capturing books from Kindle, Apple Books, or PDF files, reading the screenshots with OCR, and creating structured Markdown.

In plain words
What is it for?
Use it to choose a book source, capture pages, extract their text, and save organised files in an Obsidian vault.
Why use it?
It combines page capture, text extraction, and note creation in one process, with settings for where captures and entries are stored.

Command

10 1mo ago A scan 20 tokens original MIT
View the source file masterleopold/book-capture
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 commands/masterleopold/book-capture/capture
Clone the repo
git clone --depth 1 https://github.com/masterleopold/book-capture
Per session 20 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,777 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00020 $0.02777
Opus 5 $0.00010 $0.01388
Sonnet 5 $0.00004 $0.00555
Haiku 4.5 $0.00002 $0.00278

Measured 2d ago against content hash ff29347d97d9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

capture 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 2d 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.

commands/capture.md · 285 lines

How it starts

The opening of the file, as written. The whole thing — 285 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Book Capture Pipeline

Full pipeline: platform selection → screenshot capture → OCR text extraction → structured Markdown generation.

All AI-powered steps use Claude Code agents — no external API keys required.

Setup

Resolve paths:

  • PLUGIN_SCRIPTS = ${CLAUDE_PLUGIN_ROOT}/scripts
  • Check for .claude/book-capture.local.md in the current working directory — if it exists, read YAML frontmatter for vault_root, captures_dir, entries_dir
  • If no settings file, auto-detect vault: look for .obsidian/ in current directory or parents
  • VAULT_ROOT = detected vault root (or current directory)
  • CAPTURES_BASE = <VAULT_ROOT>/<captures_dir> (default: Books/files/book-captures)
  • ENTRIES_DIR = <VAULT_ROOT>/<entries_dir> (default: Books/entries)

Ensure dependencies are installed:

bash "${CLAUDE_PLUGIN_ROOT}/scripts/setup.sh" --check-only || bash "${CLAUDE_PLUGIN_ROOT}/scripts/setup.sh"

Step 1: Gather Information

Parse $ARGUMENTS for optional pre-filled values. Then ask the user for any missing information.

Platform selection (ask first, prominently):

Present these choices:

  1. Mac Kindle — Amazon Kindle desktop app (uses screencapture + Page Down navigation)
  2. Apple Books — Apple Books app (uses screencapture + arrow key navigation)
  3. Kindle Cloud Reader — Browser-based via Playwright (requires Amazon login)
  4. PDF — Image-based/scanned PDF files (uses Poppler pdftoppm)

Map to source values: kindle, books, cloud, pdf

Required:

  1. Source app: kindle / books / cloud / pdf (from platform selection above)
  2. Book ID: ASIN (for cloud/kindle), Book Title (for books), or identifier (for pdf)
  3. Book Title: Full title (for all sources)
  4. Author: Author name
  5. Category: One of the vault categories (AI, Marketing, Strategy, Finance, Management, etc.)
  6. Location: Where topic files should live (e.g., Knowledge/Marketing/BookTitle)

PDF-specific (required when source = pdf):

  • PDF Path: Absolute path to the PDF file

Read the full file on GitHub · 285 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. 2d ago First seen · 285 lines · 20 tokens per session scan A ff29347d97d9

Subscribe to this mod's changes

capture is a command published in the GitHub repository masterleopold/book-capture (10 stars, last pushed 1mo ago), licensed MIT. It adds 20 tokens to every session and 2,777 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.

Documentsai-agentanthropicapple-booksclaude-codeclaude-code-pluginkindle
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