academic-humanizer

Rewrites AI-assisted academic drafts and grant proposals to remove AI tells while preserving claims, numbers, and citations.

2|Updated Jun 18, 2026
One-click install
npx skills add https://github.com/AlexenderSokolov/deepscientist-lite-codex-plugin --skill academic-humanizer-alexendersokolov
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: academic-humanizer
Source: https://github.com/AlexenderSokolov/deepscientist-lite-codex-plugin/tree/main/plugins/deepscientist-lite/references/communication/upstream/AIScientists-Dev-academic-humanizer
Command: npx skills add https://github.com/AlexenderSokolov/deepscientist-lite-codex-plugin --skill academic-humanizer-alexendersokolov

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? AI-assisted drafts of papers and grant proposals come out generic and verbose, with formulaic openers, inflated phrasing, over-claimed results, and drift from the author's own voice, while general-purpose humanizers flatten the precision that scholarly writing depends on. ## Core Features & Use Cases - Six-layer editing pass: audits and rewrites text across general AI tells, academic-specific tells (over-claiming verbs, significance hype, formulaic openers), scholarly-convention preservation, claim-to-evidence matching, voice/venue calibration, and a dedicated NSF/NIH proposal mode. - Claim-evidence discipline: downgrades verbs stronger than the data, attaches numbers, ranges, and citations to vague claims, and never alters any number, equation, or reference. - Funding-proposal mode: keeps the vision language a paper would trim, enforces claim-to-feasibility matching, and prioritizes the first pages reviewers score (NIH Specific Aims, NSF Project Summary). - Use Case: Paste an AI-drafted abstract or Specific Aims page, optionally supply a prior accepted paper for voice matching and a target venue or agency, and receive a cleaned rewrite plus a change log of patterns removed and claims softened. ## Quick Start Ask the agent to run the academic-humanizer skill on your draft section or main.tex, optionally specifying a prior paper for voice matching and the target venue or funding agency.

Frequently Asked Questions about academic-humanizer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I remove AI writing patterns from an academic paper draft?▼

Run the skill on your draft section or LaTeX file. It audits each paragraph for AI tells like formulaic openers, over-claiming verbs, and empty intensifiers, then rewrites the text while preserving all claims, numbers, and citations, and returns a change log.

How to edit an NIH Specific Aims page or NSF proposal with AI?▼

Use the skill's Layer 6 proposal mode, which keeps vision and ambition language but enforces claim-to-feasibility matching. It prioritizes the first pages reviewers score, fixes vague importance statements and method-as-aim phrasing, and never invents preliminary data or funding records.

Can this tool match my own writing voice from prior papers?▼

Yes. Supply one or more of your prior accepted papers, and the skill analyzes sentence rhythm, hedging habits, section openers, and recurring phrasings, then calibrates the rewrite to that voice and to the target venue's register.

Does academic humanizer change citations, numbers, or results?▼

No. The skill explicitly preserves every number, equation, citation key, technical term, and symbol verbatim. It only adjusts phrasing, downgrades verbs that overstate the evidence, and adds pointers to existing evidence in the text.

When should I not use an academic humanizer?▼

Do not use it for blogs, marketing copy, or personal essays, since it is calibrated for scholarly registers. It is also not intended to evade AI-use detection, and you must still follow your venue's AI-assistance disclosure policy.