auto-paper-improvement-loop

仓库创建 2026年3月10日最近提交 5 天前SkillHot 收录 20 天前
▸ 精选理由

能自动化审稿—修正—重编译流程,适合快速打磨论文草稿

▸ 风险提示

可能调用高成本闭源模型并持续循环,存在费用和数据泄露风险

这个 Skill 做什么

通过多轮 LLM 审稿→修正→重编译循环自动改进论文两轮

把论文交给自动化循环改进:先用强审稿模型(如 GPT-5.6-Sol)审稿、再按意见修正并重编译,循环两轮以提升质量。适合想把生成或草稿论文自动迭代润色、修逻辑或修排版时用。特别在于内建审稿—修正—重编译的闭环和 fresh-reviewer 偏置,不需要外部定时器重复触发。

▸ 展开 SKILL.md 英文原文

Autonomously improve a generated paper via GPT-5.6-Sol xhigh review → implement fixes → recompile, for 2 rounds. Use when user says "改论文", "improve paper", "论文润色循环", "auto improve", or wants to iteratively polish a generated paper.

研究检索论文润色自动循环LLM审稿通用
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SKILL.MD 节选查看完整文件 ↗
# Auto Paper Improvement Loop: Review → Fix → Recompile

> 🔒 **Do not wrap this skill in `/loop`, `/schedule`, or `CronCreate`.** It
> already loops internally (review → fix → recompile) with its own round
> structure and a deliberate fresh-reviewer bias guard each round (no
> `codex-reply`). Re-asking it to "improve the paper" on a
> wall-clock timer produces no new signal — quality changes when the *review*
> changes, not when the clock ticks — and a timed re-run that also accepts its
> own output to decide when to stop crosses into self-acquittal
> (`acceptance-gate.md`). Schedule the *external wait that precedes it*, not the
> improvement loop. See
> [`shared-references/external-cadence
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