Flagged: opens a tunnel service. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by ithiria894 · MCP Server · ★ 117
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Awesome Claude Code Workflows Curated workflow recipes that combine hooks, MCP servers, skills, agents, and CLAUDE.md to automate real development tasks in Claude Code. A workflow is more than a single tool — it's a recipe that chains multiple Claude Code primitives together. Think of this as a cookbook, not a tool catalog. Looking for individual components? See awesome-claude-code for tools, awesome-claude-skills for skills, and awesome-claude-code-hooks for hooks. Contents Virtual Engineering Teams Plan-Build-Review Pipelines Multi-Agent Orchestration Context and Memory Management TDD and Code Quality Git and PR Automation Ship and Deploy Cross-LLM Collaboration Research and Discovery Browser and Testing Marketing and Content Business Operating Systems Autonomous Loops Scope and Config Management [Monitoring and Dashboards
| Stars | 117 |
| Forks | 24 |
| Category | MCP Server |
| License | CC0-1.0 |
| Quality Score | 58.3205438278385/100 |
| Open Issues | 16 |
| Last Updated | 2026-03-28 |
| Created | 2026-03-23 |
| Platforms | claude-code, mcp |
| Est. Tokens | ~10k |
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awesome-claude-code-workflows is Curated workflow recipes that combine hooks, MCP servers, skills, agents, and CLAUDE.md to automate real Claude Code tasks. It is categorized as a MCP Server with 117 GitHub stars.
You can find installation instructions and usage details in the awesome-claude-code-workflows GitHub repository at github.com/ithiria894/awesome-claude-code-workflows. The project has 117 stars and 24 forks, indicating an active community.
awesome-claude-code-workflows is released under the CC0-1.0 license, making it free to use and modify according to the license terms.
The top alternatives to awesome-claude-code-workflows on Agent Skills Hub include awesome-claude-skills, agents, awesome-ai-coding-techniques. 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: