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 zJay26 · Codex Skill · ★ 53
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is douyin-skills safe to install? View the security audit →
中文 douyin-skills Local-first agent workflows for the social web—starting with Douyin. [!IMPORTANT] This repository implements Douyin workflows today. Support for other Agent clients and social platforms is a direction, not a shipped compatibility claim. It i
| Stars | 53 |
| Forks | 5 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 66.8050080628616/100 |
| Last Updated | 2026-09-08 |
| Created | 2026-03-21 |
| Platforms | browser, python |
| Est. Tokens | ~18k |
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douyin-skills is Local-first Agent Skills for safe social-web workflows—starting with Douyin and designed around reusable browser adapters.. It is categorized as a Codex Skill with 53 GitHub stars.
douyin-skills is primarily written in Python. It covers topics such as agent-skills, ai-agent, ai-agents.
You can find installation instructions and usage details in the douyin-skills GitHub repository at github.com/zJay26/douyin-skills. The project has 53 stars and 5 forks, indicating an active community.
douyin-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to douyin-skills on Agent Skills Hub include x-use, frago, agent-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: