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 jessepwj · Claude Skill · ★ 304
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is CCteam-creator safe to install? View the security audit →
CCteam-creator Multi-agent team orchestration skill for Claude Code. One skill, a full engineering team. CCteam-creator turns a single Claude Code session into a coordinated team of 2-6 AI agents — with built-in CI enforcement, code review, doc-code sync, and a taste feedback loop that encodes your preferences into automated checks. Human steers, agents execute. English | 中文 Standing on the Shoulders of Giants CCteam-creator is built upon outstanding open-source projects and engineering practices: The discipline of designing constraints, feedbac
| Stars | 304 |
| Forks | 46 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 65.5907386415046/100 |
| Open Issues | 5 |
| Last Updated | 2026-04-13 |
| Created | 2026-03-17 |
| Platforms | claude-code, python |
| Est. Tokens | ~77k |
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CCteam-creator is Multi-agent team orchestration skill for Claude Code. Set up parallel AI agent teams with file-based planning and role-based collaboration.. It is categorized as a Claude Skill with 304 GitHub stars.
CCteam-creator is primarily written in Python.
You can find installation instructions and usage details in the CCteam-creator GitHub repository at github.com/jessepwj/CCteam-creator. The project has 304 stars and 46 forks, indicating an active community.
CCteam-creator is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to CCteam-creator on Agent Skills Hub include claude-codex-settings, digital-marketing-pro, life-sciences. 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: