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 OrangeViolin · Claude Skill · ★ 213
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is content-pipeline safe to install? View the security audit →
Content Pipeline — Claude Code 内容生产管线 一句话给 Claude Code，从素材到多平台发布全自动。 它能干什么 支持平台 快速开始 克隆到 Claude Code 技能目录 配置私有信息 编辑 ，填入你的密钥： 个性化配置（可选） 创建 覆盖默认设定： markdown 本地覆盖配置
| Stars | 213 |
| Forks | 41 |
| Language | TypeScript |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 64.6687505907933/100 |
| Open Issues | 1 |
| Last Updated | 2026-04-12 |
| Created | 2026-03-02 |
| Platforms | claude-code, node |
| Est. Tokens | ~15k |
These tools work well together with content-pipeline for enhanced workflows:
Looking for a content-pipeline alternative? If you're comparing content-pipeline with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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在 DeepSeek Harness / Claude Code / Cursor / Codex / Gemini CLI 里直接搜索 20 个中国开放平台的 65,600+ 篇 API 文档；零配置，支持 Skill
AI image generation skill for Claude Code - Creative Director powered by Gemini
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content-pipeline is AI-powered content production pipeline for creators. One prompt → multi-platform publishing. Claude Code Skill.. It is categorized as a Claude Skill with 213 GitHub stars.
content-pipeline is primarily written in TypeScript. It covers topics such as 01fish, ai-tools, automation.
You can find installation instructions and usage details in the content-pipeline GitHub repository at github.com/OrangeViolin/content-pipeline. The project has 213 stars and 41 forks, indicating an active community.
content-pipeline is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to content-pipeline on Agent Skills Hub include self-media-content-workflow, openquok-monorepo, SpecFusion. 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: