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 linhay · Codex Skill · ★ 352
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is harmony-next.skills safe to install? View the security audit →
English · readme-English HarmonyOS NEXT Agent Skills 给 Gemini CLI、Claude Code、Codex 和其他 AI 编程助手使用的 HarmonyOS NEXT 离线技能包。 API 12–26 的本地 HarmonyOS 参考、ArkTS/ArkUI、NDK、DevEco Studio、模拟器自动化和发布调试工作流。 让 Agent 自动安装 把这段话发给你的 Agent： 展开安装提示词 快速开始 安装后直接提出 HarmonyOS 开发问题。Agent 会按 SKILL.md → KITS.md / TASKMAP.md → IN
| Stars | 352 |
| Forks | 25 |
| Language | Python |
| Category | Codex Skill |
| Quality Score | 66.1149303863943/100 |
| Last Updated | 2026-09-20 |
| Created | 2026-03-12 |
| Platforms | claude-code, cli, codex, gemini, python |
| Est. Tokens | ~14k |
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harmony-next.skills is Offline HarmonyOS NEXT developer skill library for AI coding assistants. Covers API 12–26 declarations, ArkTS/ArkUI, NDK, DevEco Studio, emulator automation, debugging, publishing, and reproducible lo. It is categorized as a Codex Skill with 352 GitHub stars.
harmony-next.skills is primarily written in Python. It covers topics such as ai-coding-assistant, api-26, arkts.
You can find installation instructions and usage details in the harmony-next.skills GitHub repository at github.com/linhay/harmony-next.skills. The project has 352 stars and 25 forks, indicating an active community.
The top alternatives to harmony-next.skills on Agent Skills Hub include harmonyos-ai-skill, agent-deck, quint-code. 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: