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 liangdabiao · Claude Skill · ★ 118
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is tikhub_api_skill safe to install? View the security audit →
TikHub API Helper TikHub API 助手是一个 Claude Code Agent Skill，用于帮助用户搜索、发现和调用 TikHub API。TikHub 提供了多平台社交媒体数据 API，支持抖音、TikTok、小红书、Instagram、YouTube、Twitter、Reddit 等平台。 简介 TikHub 是一个多平台社交媒体数据 API 服务，提供 RESTful 接口来获取各大社交平台的数据。本项目是一个 Claude Code Agent Skill，可以让你在使用 Claude Code 时轻松调用 TikHub API。 支持的平台 功能特性 API 搜索 - 通过关键词、标签或操作 ID 搜索 TikHub API API 调用 - 直接通过命令行调用 TikHub API 多平台支持 - 支持抖音、TikTok、小红书等 12+ 平台 中英文支持 - 支持中英文关键词搜索 自动鉴权 - 内置开发环境 API Token 安装 克隆仓库 确保项目结构正确 确保 目录包含以下文件： 获取 API Token（可选） 代码中已内置开发环境用的 API Token。如需使用自己的 Token： 访问 TikHub User 登录 点击左侧 API Keys 生成你的 API Token
| Stars | 118 |
| Forks | 16 |
| Language | Python |
| Category | Claude Skill |
| Quality Score | 65.8986886273796/100 |
| Last Updated | 2026-07-08 |
| Created | 2026-01-08 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~14k |
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tikhub_api_skill is TikHub API 助手是一个 Codex/Claude Code Agent Skill，用于帮助用户搜索、发现和调用 TikHub API。TikHub 提供了多平台社交媒体数据 API，支持抖音、TikTok、小红书、Instagram、YouTube、Twitter、Reddit 等平台。This is a TikHub API skill/documentation repositor. It is categorized as a Claude Skill with 118 GitHub stars.
tikhub_api_skill is primarily written in Python. It covers topics such as claude-code.
You can find installation instructions and usage details in the tikhub_api_skill GitHub repository at github.com/liangdabiao/tikhub_api_skill. The project has 118 stars and 16 forks, indicating an active community.
The top alternatives to tikhub_api_skill on Agent Skills Hub include claude-code-mastery, claude-code-statusline, kindly-web-search-mcp-server. 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: