Reading Resume Card Generator
Validate nested checkpoint records and add printable pocket/phone cards with checkpoint previews and hidden-item counts.
The problem it solves
Reading Resume Card Generator [](https://github.com/loganpendragonmultiverse/reading-resume-card-generator/actions/workflows/ci.yml)
Who Reading Resume Card Generator is for
- People who need a small, purpose-built utility instead of a broad platform.
- Users working with reading, resume, spoilers who want the documented v1.2.0 behavior.
- People who prefer an open-source release with visible limitations, source, and license terms.
Intended result
Validate nested checkpoint records and add printable pocket/phone cards with checkpoint previews and hidden-item counts.
This summary is reconciled from the current catalog and repository documentation.
Features in v1.2.0
Capabilities below come from the current project README and release documentation.
[](https://github.com/loganpendragonmultiverse/reading-resume-card-generator/actions/workflows/ci.yml)
Create spoiler-controlled return-to-reading cards for pauses within a book or series. The command uses explicit UTF-8 JSON input and produces reviewable JSON or Markdown output.
Verified examples
Screenshots are shown only when the current README references a local source image. Otherwise, repository example files are linked directly.
Platforms and implementation
The public release claims only the cataloged platforms and technologies.
Supported platforms
- Windows
- macOS
- Linux
Built with
- Python
What changed in v1.2.0
Validate nested checkpoint records and add printable pocket/phone cards with checkpoint previews and hidden-item counts.
reading-resume-cards examples/sample.json --format html --output card.htmlWork and display fields must be text; milestone/checkpoint fields must be nonnegative integers, excluding booleans. Event, character and thread records are validated before filtering. HTML supports phone and pocket-print layouts and earlier checkpoint previews, with counts of newly included and still-hidden items. Future text and unsupported extra fields are excluded from the export; only hidden-item counts remain. To advance beyond the exported ceiling, update the private input's through checkpoint and regenerate. The page does not modify the original input.
Quick start
The shortest documented path into the current release.
python -m pip install .
reading-resume-cards examples/sample.json
reading-resume-cards examples/sample.json --format json --output report.jsonThe example documents the v1 input shape. Existing report files are never overwritten. Source inputs are read-only except where the documented purpose explicitly creates a new output artifact.
Version 1.1 adds previous_checkpoint, importance (low, medium, high, or critical), and thread status (open or resolved). Markdown output is now a purpose-built resume card with recent events, character reminders, separate thread lists, changes since the previous checkpoint, and the next reading step.
Current limitations
These boundaries are part of the product and prevent the page from implying unverified capability.
Spoiler safety depends on accurate milestone numbers in supplied data. The tool does not infer canon or read a book.
Privacy and licensing
Review the actual data boundary before using a tool with sensitive inputs.
Privacy and safety
The tool runs locally and does not upload input or include telemetry. Python 3.10 or newer is supported on Windows, macOS, and Linux.
License and release
Reading Resume Card Generator is published under MIT. The current cataloged release is v1.2.0, published 2026-09-07.
Related projects
Related projects are selected deterministically from shared catalog tags, category, and implementation technologies—not popularity or paid placement.
Reading Resume Card Generator v1.2.0
Use the tagged release for downloads and release notes. Use the repository for source, issues, contribution guidance, security reporting, and complete documentation.
Page source: current Forge catalog plus README and CHANGELOG from the canonical local repository. Fingerprint: 60f130402e7ea922.