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Skills · Auto-Empirical Research Skills (AERS) — first-party skills

chinese-de-aigc

By Bryce Wang · as credited by the source

Chinese academic de-AIGC rewriting targeting CNKI/Wanfang/VIP/Turnitin-zh detectors — a five-step locate/diagnose/rewrite/self-score/recheck loop over 17 diagnostic rules for the five structural signatures of Chinese LLM prose, with per-section strategies.

In the catalogueeditingCC BY-SA 4.0 (repo default); MIT for the mirrored first-party collections (StatsPAI, AER-skills, Paper-WorkFlow)
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Provenance

Project
Auto-Empirical Research Skills (AERS) — first-party skills
Maintained by
Bryce Wang (Stanford REAP / CoPaper.AI)
Licence
CC BY-SA 4.0 (repo default); MIT for the mirrored first-party collections (StatsPAI, AER-skills, Paper-WorkFlow) · installed from its source; E2ER does not redistribute it
Source file
brycewang-stanford/Auto-Empirical-Research-Skills/blob/main/skills/48-copaper-ai-chinese-de-aigc/SKILL.md
Identifier
auto-empirical-research-skills/chinese-de-aigc

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e2er skills install auto-empirical-research-skills

The command is on the development branch of E2ER.

Cite this skill
Persistent identifiers planned 
@software{brycewangstanfordreapcop2026chinesedeaigc,
  title   = {chinese-de-aigc},
  author  = {Bryce Wang (Stanford REAP / CoPaper.AI)},
  year    = {2026},
  note    = {E2ER skill. Persistent identifier planned},
  url     = {https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/blob/main/skills/48-copaper-ai-chinese-de-aigc/SKILL.md}
}
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Description

Data model
Discipline
Social sciences
Method family
not specified
Design
not specified
Research stage
Revision and editing
Contributors
Bryce Wang
Usage
not used in published research yet
Source
RISE skill catalogue · auto-empirical-research-skills · @4c17bae
Record
skill:auto-empirical-research-skills/chinese-de-aigc · JSON

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