
from baibaiaigc833
Two-stage rewrite workflow that reduces AI-generated style in Chinese/English academic and technical texts while preserving facts and structure.
Paper AIGC Reducer provides a disciplined, script-backed two-round rewriting flow to reduce AI-like phrasing in academic and technical documents. For Chinese texts it enforces two sequential rounds of prompts (baibaiaigc1 -> baibaiaigc2); for English it runs a single-pass prompt. The skill coordinates reading/writing of round records and intermediate files so multi-session workflows can continue across conversations.
Use when you need to humanize or ‘de-AIGC’ academic papers, theses, technical reports, or other scholarly text without changing facts, terminology, or logical structure. Ideal for: authors prepping submissions, editors polishing drafts, or platforms offering staged rewrite pipelines. Avoid when new facts, citations, or content expansion are required.
Best used with agents that can call scripts or execute managed multi-step workflows (Code-enabled agents, CLI-driven automations, or server-side orchestrators).
A two-round AIGC reduction skill for Chinese/English academic texts with 12 Python scripts. The SKILL.md is detailed and well-written with clear workflow rules. 4 of 11 runnable scripts succeeded (llm_client, managed_sources, skill_round_helper exit 0; chunking/aigc_records/docx_pipeline/run_aigc_round show usage correctly on no-args). The rest fail on import dependencies (they're designed to run as a repo package, not standalone). No security issues found — file deletions are guarded to specific directories, no hardcoded credentials, no shell injection risks, no telemetry.
flaskWell-crafted skill for a niche but real use case. The multi-round state management via aigc_records.json is thoughtful. Scripts are production-quality Python with dataclasses, type hints, and proper CLI arg parsing. Main issues: scripts can't run standalone (import dependencies), and the skill requires significant setup (directory structure, prompt files, LLM API config). No malicious patterns detected.