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 openteams-lab · Codex Skill · ★ 624
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is openteams safe to install? View the security audit →
Plan, Build, and Ship — with a team of AI agents instead of one Multiple AI agents share one context — collaborate freely through chat, or orchestrate complex tasks through workflows you can see, review, and retry. <img alt="Feishu/Lark" src="https://img.shields.io/badge/Feishu%2FLark-Join%20Group
| Stars | 624 |
| Forks | 78 |
| Language | TypeScript |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 70.2641699602865/100 |
| Open Issues | 17 |
| Last Updated | 2026-09-21 |
| Created | 2026-02-08 |
| Platforms | claude-code, codex, node |
| Est. Tokens | ~17k |
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openteams is Plan, Build, and Ship — with a team of AI agents instead of one. It is categorized as a Codex Skill with 624 GitHub stars.
openteams is primarily written in TypeScript. It covers topics such as agency-agents, agentic-ai, agents.
You can find installation instructions and usage details in the openteams GitHub repository at github.com/openteams-lab/openteams. The project has 624 stars and 78 forks, indicating an active community.
openteams is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to openteams on Agent Skills Hub include turbo-flow, awesome_ai_agents, takt. 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: