No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by ayi-ai · Agent Tool · ★ 551
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is nie-grassroots-logic safe to install? View the security audit →
基层中国的运行逻辑 聂辉华同名著作的可执行 AI Skill 把县乡村治理框架（条块、含权量、双均衡、三座大山…）提炼成可被 Cursor / Claude Code / Codex / Grok 反复调用的方法论工具箱——用来解释地方新闻与权力结构，也用来做选择：求学、考公、投资、养老、创业。 本仓库是方法论 skill，不是原书电子版。 不含全书正文。请支持作者，购买正版《基层中国的运行逻辑》。 目录 解决什么问题 适合谁用 它不是什么 怎么工作 安装 怎么用（最重要） 各维度用例 核心框架速查 14 个模块一览 推荐阅读顺序 输出长什么样 边界与免责 原著与许可 解决什么问题 很多人读新闻、做选择时，会卡在这些地方： 一句话：理解基层，才能理解中国；理解激励与权力，才能做出不天真的个人决策。 适合谁用 选城读书、高考
| Stars | 551 |
| Forks | 65 |
| Language | HTML |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 63.7445994944768/100 |
| Open Issues | 2 |
| Last Updated | 2026-08-10 |
| Created | 2026-08-10 |
| Est. Tokens | ~18k |
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nie-grassroots-logic is 聂·基层运行逻辑 · Agent Skill：基于聂辉华《基层中国的运行逻辑》的方法论工具箱（不含原书全文）. It is categorized as a Agent Tool with 551 GitHub stars.
nie-grassroots-logic is primarily written in HTML. It covers topics such as agent-skills, china, cursor-skills.
You can find installation instructions and usage details in the nie-grassroots-logic GitHub repository at github.com/ayi-ai/nie-grassroots-logic. The project has 551 stars and 65 forks, indicating an active community.
nie-grassroots-logic is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to nie-grassroots-logic on Agent Skills Hub include agent-skill-creator, design-dna, swift-ios-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.
Sources & who's responsible: