calibre-catalog-read

Use this skill for:

• Read-only catalog lookup (list/search/id)
• One-book AI reading workflow (export -> analyze -> cache -> comments HTML apply)

Requirements

• calibredb available on PATH in the runtime where scripts are executed.
• ebook-convert available for text extraction.
• subagent-spawn-command-builder installed (for spawn payload generation).
• Reachable Calibre Content server URL in --with-library format:
  • http://HOST:PORT/#LIBRARY_ID
• Do not assume localhost/127.0.0.1; always pass explicit reachable HOST:PORT.
• If auth is enabled:
  • Preferred: set in /home/altair/.openclaw/.env
    • CALIBRE_USERNAME=<user>
    • CALIBRE_PASSWORD=<password>
  • Then pass only --password-env CALIBRE_PASSWORD (username auto-loads from env)
  • You can still override with --username <user> explicitly.
  • Optional auth cache file: ~/.config/calibre-catalog-read/auth.json
    • Avoid --save-plain-password unless explicitly requested.

Commands

List books (JSON):

node skills/calibre-catalog-read/scripts/calibredb_read.mjs list \
  --with-library "http://192.168.11.20:8080/#Calibreライブラリ" \
  --password-env CALIBRE_PASSWORD \
  --limit 50

Search books (JSON):

node skills/calibre-catalog-read/scripts/calibredb_read.mjs search \
  --with-library "http://192.168.11.20:8080/#Calibreライブラリ" \
  --password-env CALIBRE_PASSWORD \
  --query 'series:"中公文庫"'

Get one book by id (JSON):

node skills/calibre-catalog-read/scripts/calibredb_read.mjs id \
  --with-library "http://192.168.11.20:8080/#Calibreライブラリ" \
  --password-env CALIBRE_PASSWORD \
  --book-id 3

Run one-book pipeline (analyze + comments HTML apply + cache):

uv run python skills/calibre-catalog-read/scripts/run_analysis_pipeline.py \
  --with-library "http://192.168.11.20:8080/#Calibreライブラリ" \
  --password-env CALIBRE_PASSWORD \
  --book-id 3 --lang ja

Cache DB

Initialize DB schema:

uv run python skills/calibre-catalog-read/scripts/analysis_db.py init \
  --db skills/calibre-catalog-read/state/calibre_analysis.sqlite

Check current hash state:

uv run python skills/calibre-catalog-read/scripts/analysis_db.py status \
  --db skills/calibre-catalog-read/state/calibre_analysis.sqlite \
  --book-id 3 --format EPUB

Main vs Subagent responsibility (strict split)

Use this split to avoid long blocking turns on chat listeners.

Main agent (fast control plane)

• Validate user intent and target book_id.
• Confirm subagent runtime knobs: model, thinking, runTimeoutSeconds.
• Start subagent and return a short progress reply quickly.
• After subagent result arrives, run DB upsert + Calibre apply.
• Report final result to user.

Subagent (heavy analysis plane)

• Read extracted source payload.
• Generate analysis JSON strictly by schema.
• Do not run metadata apply or user-facing channel actions.