Humanizer Academic

v1.3.0

Rewrite English, Chinese, and mixed-language academic text so it keeps a serious scholarly register while reducing common AI-writing signals. Use for essays,...

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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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high confidence
Purpose & Capability
Name, description, and included files align: references for English/Chinese patterns, a language-aware scanner, and a narrow English polish script all match the stated goal of removing AI/report-shell residue while preserving academic register.
Instruction Scope
SKILL.md confines runtime actions to language detection, pattern scanning, and rewriting; it explicitly suggests running the included scripts for batch or narrow passes. These scripts only read input files (or stdin) and the English polish script will overwrite files when it changes them — users should be aware of file-write behavior and back up drafts before running batch operations.
Install Mechanism
No install spec or external downloads. This is an instruction-only skill with small local Python helpers; nothing is fetched from the network or written to unusual system locations.
Credentials
The skill requests no environment variables, no credentials, and no config paths. That is proportionate to its stated purpose of local text processing.
Persistence & Privilege
always is false and the skill does not request persistent or elevated platform privileges. It does not modify other skills or global agent configuration.
Assessment
What to consider before using/installing: - The skill is local and coherent: it uses pattern lists and two small Python scripts to scan and (optionally) polish drafts. There are no external network calls or secret requirements. - The polish script (scripts/polish_english.py) will overwrite files when it detects changes; back up important drafts before running batch edits. - Allowed-tools include Read/Write/Edit/Grep/Glob — the agent will be able to access files you point it at. Only provide texts you intend the skill to read or modify. - Review the included references and scripts if you want to confirm specific transformations (they're short and deterministic regex-based helpers). - Autonomous invocation is permitted by default on the platform; this is normal and not a concern here, but if you prefer manual control, keep the skill user-invocable only when running it. Overall: the package appears consistent and limited in scope; use normal caution (backup files, inspect small scripts) before running batch operations.

Like a lobster shell, security has layers — review code before you run it.

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License

MIT-0
Free to use, modify, and redistribute. No attribution required.

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