Academic Humanizer
Minimally rewrites or audits English/Chinese academic prose to remove formulaic, vacuous, and process-leaking language without altering claims, numbers, or terminology.
What it does
Targets observable writing defects in scholarly prose — empty evaluation, mechanical repetition, and process leakage — instead of imitating human imperfection or gaming a detector.
- Four operations: generate, detect, rewrite, edit
- A single C0–C7 arbitration table: artifact boundary > semantic fidelity > locked spans (quotes, formulas, code, citations) > terminology identity > academic register > argument structure > document patterning > local style repair
- Internal claim/evidence ledger and terminology ledger prevent adding facts, citations, baselines, or limitations that the source never contained
- Builds a document-wide distribution map (dashes, parallel triads, paragraph templates, sentence rhythm) and re-verifies it after editing
- Explicit stop conditions: missing facts, unverifiable citations, excerpt-vs-manuscript mismatch, or requests for detector evasion
Who it's for
- Graduate students and researchers polishing papers, abstracts, grants, and reviewer responses
- Authors who want LLM-draft phrasing cleaned up with zero meaning drift
- Editors maintaining consistent terminology across bilingual (EN/ZH) manuscripts
Examples
- "De-AI this Discussion paragraph" → strips unsupported certainty and hollow evaluative sentences while keeping every number, hedge, and causal claim; returns only the clean text.
- "Don't rewrite — just flag AI-sounding phrasing" → detect mode returns findings with exact quotes, rule IDs, distribution evidence, and a change/keep/uncertain verdict.
- A coined method name drifts across abstract, body, and figure captions → the terminology gate normalizes it to the canonical term while preserving declared abbreviations and intentional distinctions.
· · · Install guide · · ·
Try it now, no install
Paste this into Claude to use the skill without installing anything.
Read the instructions in this file and follow them to help me: https://raw.githubusercontent.com/dongshuyan/compass-skills/HEAD/skills/academic-humanizer/SKILL.md What I want: (describe your task here)
If Claude can't open the link, open it yourself and paste the contents instead.
↓ If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.
Install in the Claude app (no terminal)
- Download the ZIP with the button below.
- In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
- Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
Install in Claude Code
Let Claude do it — paste this into Claude Code
Install the skill I found on Claude Skill Mart. Copy the skills/academic-humanizer folder from the GitHub repo dongshuyan/compass-skills into my ~/.claude/skills/academic-humanizer/. When it's done, tell me in one line what this skill can do.
Install with a command instead
git clone https://github.com/dongshuyan/compass-skills.git /tmp/compass-skills && mkdir -p ~/.claude/skills && cp -r /tmp/compass-skills/skills/academic-humanizer ~/.claude/skills/⚠ This is a third-party skill. Check the source repository before installing.
- Open a terminal.
- Clone the repo:
git clone https://github.com/dongshuyan/compass-skills.git - Create the skills directory:
mkdir -p ~/.claude/skills - Copy the skill:
cp -r compass-skills/skills/academic-humanizer ~/.claude/skills/ - Confirm that
references/andscripts/metrics.pycame along — the core rules live in those files. - Restart Claude Code and try a prompt like "humanize this abstract" or "audit this section for AI-like phrasing".
- Optional: install Python 3 if you want the reproducible metrics script; the skill works fine without it.