academic-humanizer

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Draft, audit, or minimally revise English- or Chinese-language academic prose to reduce formulaic, vacuous, mechanically repetitive, or process-leaking language while preserving claims, evidence strength, logical relations, manuscript-wide terminology identity, document-level pattern variation, and scholarly register. Use for papers, abstracts, grants, cover letters, and reviewer responses when the user asks to de-AI, humanize, audit AI-like phrasing, or rewrite text without changing meaning. English is primary; Chinese is supported. Not for detector evasion, policy circumvention, pure translation, non-academic copy, or adding facts, citations, examples, or author experiences that the source does not contain.

AI & Automation 738 stars 60 forks Updated 1 months ago MIT

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Quality Score: 86/100

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96
Recency 20%
75
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# Academic Humanizer Improve academic prose by removing observable writing defects, not by imitating imperfection or optimizing an authorship detector. Preserve the author's facts, argument, uncertainty, and disciplinary voice. This skill does not guarantee how any reader or detector will classify a text. ## Portability This skill is agent-agnostic. Its core behavior is defined by `SKILL.md` and `references/`; Python is optional and supports reproducible diagnostics. - Resolve `<skill-dir>` from the directory containing this `SKILL.md`. - Let `<python>` mean an available Python 3 launcher, such as `python3`, `py -3`, or `python`. - Let `<input-file>` mean a user-authorized local text file. Quote paths that contain spaces and use the host shell's path separator. - Do not assume a fixed skill root, home directory, shell, operating system, agent name, or path separator. - `agents/openai.yaml` is optional interface metadata. Core behavior does not depend on a particular agent runtime. - If Python is unavailable, skip the scripts and apply the same contracts directly. ## Load the operating references Read these before drafting or editing: 1. [Semantic contract](references/semantic-contract.md) for claim preservation, locked spans, deletion safety, and the internal claim ledger. 2. [Terminology contract](references/terminology-contract.md) for canonical terms, declared aliases, coined names, intentional distinctions, and the internal terminology ledger. Al...

Details

Author
dongshuyan
Repository
dongshuyan/compass-skills
Created
3 months ago
Last Updated
1 months ago
Language
Python
License
MIT

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academic-humanizer

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