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 catlog22 · Codex Skill · ★ 2.1k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Claude-Code-Workflow safe to install? View the security audit →
English | 中文 <img src="https://readme-typing-svg.demolab.com?font=Fira+Code&weight=600&size=22&pause=1000&color=6366F1¢er=true&vCenter=true&random=false&width=600&lines=JSON-D
| Stars | 2,132 |
| Forks | 164 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 65.1150647233751/100 |
| Last Updated | 2026-06-18 |
| Created | 2025-09-07 |
| Platforms | claude-code, cli, codex, gemini, node |
| Est. Tokens | ~17k |
These tools work well together with Claude-Code-Workflow for enhanced workflows:
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Claude-Code-Workflow is JSON-driven multi-agent cadence-team development framework with intelligent CLI orchestration (Gemini/Qwen/Codex), context-first architecture, and automated workflow execution. It is categorized as a Codex Skill with 2.1k GitHub stars.
Claude-Code-Workflow is primarily written in TypeScript. It covers topics such as claude, claude-code, cli-tools.
You can find installation instructions and usage details in the Claude-Code-Workflow GitHub repository at github.com/catlog22/Claude-Code-Workflow. The project has 2.1k stars and 164 forks, indicating an active community.
Claude-Code-Workflow is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Claude-Code-Workflow on Agent Skills Hub include tokscale, pro-workflow, agent-of-empires. 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: