first-reader - Beta-read drafts before publication
Simulates readers encountering a draft to report attention, drop-off points, recall, and trust without rewriting the text.
Tags
Updated: 2026-10-02Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Simulate reader encounters
- Run skim gates
- Track attention changes
- Record reader quit points
- Test next-day recall
- Assess author trust
- Answer reader follow-ups
- Compare repeat readings
Inputs
- Draft file or pasted draft
- Audience and publication venue
- Intended reader outcome
- Existing audience configuration
- Previous reading run
Outputs
- Beta-reading report
- Annotated passage page
- Skimmer verdict
- Attention transcript
- Reader quit points
- Recall findings
- Trust ledger
- Run comparison
Requirements
- Python 3 standard library
- Offline execution
- Local file access
- Loopback HTTP access
- Fresh reader subagents