Content Creation & Writing
De AIGC Skills
中英双语学术降 AIGC + 去水印 / bilingual academic de-AIGC and provenance skill for empirical papers in economics, management and the social sciences (Turnitin AI, GPTZero, 知网 AMLC, 万方, 维普). Six-step loop (intake → audit → claim-evidence check → rewrite → self-score → cold-reader recheck) in three modes (audit-only / edit / author-voiced), 30 English + 28 Chinese patterns revised in 2026-10 against the ten most-starred humanizer skills, a protect-list, per-section edit caps, and hard rules that keep every number, coefficient and citation intact and never invent anchors. Two stdlib scripts - aigc_audit.py (deterministic rule scan; fidelity gate for numbers, citations, negation and verb strength; draft-retention metrics) and provenance_scrub.py (CJK-safe invisible-character, look-alike and whitespace cleaning; docx / figure / PDF / zip metadata incl. C2PA). Claude's statistical watermark is handled by an author ownership pass and always reported as unknown; the skill never claims a text is watermark-free.
- Publisher / source
- brycewang-stanford/Auto-Empirical-Research-Skills (found on GitHub top repositories)
- Upstream record
- brycewang-stanford/Auto-Empirical-Research-Skills
- Version
- Version 1
- Published
- Publication review
- Approved for publication
- Content fingerprint
9dd41b447cb89daf8854a31b814b9f4cdba570139d7b6c1994176757b1cb17fc