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 mubaidr · Agent Tool · ★ 225
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is gem-team safe to install? View the security audit →
💎 Gem Team Multi-agent orchestration framework for spec-driven development and automated verification. Turning Model Quality into System Quality. 🚀 Quick Start Install Now for Code See all installation options below. 🤔 Why Gem Team? ⚡ 4x Faster — Parallel execution with wave-based execution 🏆 Higher Quality — Specialized agents + TDD + verification gates + contract-first 🔒 Built-in Security — OWASP scanning, secrets/PII detection on critical tasks 👁️ Full Visibility — Real-time status, clear approval gates 🛡️ Resilient — Pre-mortem analysis, failure handling, auto-replanning ♻️ Pattern Reuse — Codebase pattern discovery prevents reinventing wheels 📏 Established Patterns — Uses library/framework conventions over custom implementations 🪞 Self-Correcting
| Stars | 225 |
| Forks | 20 |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 58.6294602812054/100 |
| Last Updated | 2026-10-02 |
| Created | 2026-01-12 |
| Platforms | claude-code |
| Est. Tokens | ~19k |
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gem-team is Turn AI coding into an engineering process.. It is categorized as a Agent Tool with 225 GitHub stars.
You can find installation instructions and usage details in the gem-team GitHub repository at github.com/mubaidr/gem-team. The project has 225 stars and 20 forks, indicating an active community.
gem-team is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to gem-team on Agent Skills Hub include hcom, sub-agents-mcp, claude-code-skills. 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: