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by lin1111-1 · Codex Skill · ★ 102
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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Academic Integrity Rewrite 一个面向 Codex 的中英文学术论文诚信降重 Skill:从研究逻辑和证据链重构表达,同时保护数字、单位、公式、术语、图表编号与引文。 它解决的是“如何写得更清楚、更原创”,不是“如何骗过检测器”。项目不会承诺特定查重平台的分数,也不支持隐藏抄袭、伪造引用或用不可见字符规避审查。 能力 按 P0–P3 优先级处理诚信/技术、论证、表达和版式问题。 覆盖摘要、引言/综述、方法、结果、讨论和结论。 要求先建立“受保护事实账本”,再从证据图重写。 附带零第三方依赖审计脚本,核对数字、带单位测量值、引文标记和长重合片段。 支持 、 和 文本审计。 安装 前置条件 Git。 Codex desktop、Codex CLI 或 Codex IDE 扩展。 Python 3.10 或更高版本(仅运行审计脚本和项目测试时需要)。 Codex 会从用户级 或仓库级 发现 Skill。以下命令安装到当前用户;如果 Codex 没有立即显示新 Skill,请重启客户端。 Windows(PowerShell) powershell git clone https://github.com/lin1111-1/academic-integrity-rewrite.git Set-Location academic-integrity-rewrite $source = Resolve-Path ".\skills\academic-integrity-rewrite" $destination = Join-Path $HOME "
| Stars | 102 |
| Forks | 3 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 67.3675051217302/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-11 |
| Created | 2026-08-12 |
| Platforms | codex, python |
| Est. Tokens | ~6k |
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academic-integrity-rewrite is Codex skill for evidence-preserving academic rewriting in Chinese and English.. It is categorized as a Codex Skill with 102 GitHub stars.
academic-integrity-rewrite is primarily written in Python. It covers topics such as academic-writing, codex, openai.
You can find installation instructions and usage details in the academic-integrity-rewrite GitHub repository at github.com/lin1111-1/academic-integrity-rewrite. The project has 102 stars and 3 forks, indicating an active community.
academic-integrity-rewrite is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to academic-integrity-rewrite on Agent Skills Hub include rigorous, open-responses-server, AI-Powered-Literature-Review-Skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
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