fbdeme

Academic Register — Security skill for Claude Code

Security community

Claude Code skill: audit & fix English academic prose register — guards BOTH poles (too-informal ↔ AI-inflated), so a 'make it formal' pass never creates AI-slop.

How to install Academic Register

This entry records only its repository, not the path inside it, so there is no exact command to give. Open fbdeme/academic-register and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Academic Register does

Claude Code skill: audit & fix English academic prose register — guards BOTH poles (too-informal ↔ AI-inflated), so a 'make it formal' pass never creates AI-slop. Severity rubric (R1–R10 + Hyland stance), deterministic register_scan.py, cited research brief. English sibling of korean-humanizer; pairs with prose-readability/stat-tone.

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README

academic-register

A Claude Code skill. Fixes English academic/scientific prose that reads wrong to reviewers — either **(A) too informal** (contractions, idioms, phrasal verbs, "a lot of", rhetorical questions, punchy fragments) or **(B) AI-written/inflated** (delve, underscore, tricolons, "not only… but also", "it is worth noting", hedge clusters, promotional verbs). It measures with a deterministic scan, classifies violations by severity (S1/S2/S3) against a canonical rubric (R1–R10 + Hyland stance), and rewrites by **substituting** (not deleting) while preserving content, numbers, citations, and voice.

Its core is the **two-pole guard**: a naive "make it formal" pass pushes writing from A straight into B, so the both-pole AI-slop intersection is off-limits in *both* directions.

`SKILL.md` — the skill (iron laws, severity, workflow, grades).
`references/register-catalog.md` — full R1–R10 + stance + Do-NOT.
`references/research_brief.md` — cited research foundation.
`scripts/register_scan.py` — deterministic trigger/density scan (--demo).

The English scholarly-register sibling of [`korean-humanizer`](https://github.com/fbdeme/claude-skills); pairs with [`prose-readability`](https://github.com/fbdeme/prose-readability) and [`stat-tone`](https://github.com/fbdeme/stat-tone). MIT.