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 jangviktor-web · Codex Skill · ★ 104
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is likeskill safe to install? View the security audit →
English Version | 中文 李可老中医 · 思维操作系统 用AI复现一代中医急危重症大师的辨证思维 「难症痼疾,师法仲景。」—— 李可 []() []() []() []() []() ⏬ 快速安装 · 🎯 项目简介 · ✨ 核心特性 · 🆕 v2.2.0更新 · 📋 蒸馏来源 · 🔬 验证报告 · 📋 更新日志 ⏬ 快速安装 方式一:ClawHub安装(推荐) bash clawhub ins
| Stars | 104 |
| Forks | 39 |
| Language | HTML |
| Category | Codex Skill |
| Quality Score | 62.4535979063093/100 |
| Last Updated | 2026-08-23 |
| Created | 2026-06-06 |
| Est. Tokens | ~18k |
Looking for a likeskill alternative? If you're comparing likeskill with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
terminally online
倪海厦中医课程资料的 Agent Skill:支持课程检索、方证穴位辨析、学习笔记整理与板书截图证据索引。 | An Agent Skill for Ni Haisha TCM course study, formul
A cross-platform skills manager for AI IDEs. Search marketplace, download locally, and install to Claude, Curs
倪海厦中医课程资料的 Agent Skill:支持课程检索、方证穴位辨析、学习笔记整理与板书截图证据索引。 | An Agent Skill for Ni Haixia TCM course study, formul
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likeskill is 李可老中医SKILL(1930-2013)思维操作系统。基于13个来源(11本著作+2篇访谈)蒸馏, 含423个医案、120+首方剂、92种症状路由、24种假证识别。 核心能力:急危重症救治(心衰/中风/休克)、经方剂量体系、六经辨证、假证识别。 触发词:「李可」「用李可的视角」「李可会怎么看」「心衰怎么急救」「附子用量」「经方剂量」「假阳证」「破格救心汤」「六经辨证」。. It is categorized as a Codex Skill with 104 GitHub stars.
likeskill is primarily written in HTML. It covers topics such as agent-skill, chinese-medicine, openclaw.
You can find installation instructions and usage details in the likeskill GitHub repository at github.com/jangviktor-web/likeskill. The project has 104 stars and 39 forks, indicating an active community.
The top alternatives to likeskill on Agent Skills Hub include milady, nihaisha-tcm, skills-manager. 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: