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 agentteamhq · Agent Tool · ★ 62
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agentteam-email safe to install? View the security audit →
AgentTeam Email Open-source email infrastructure for AI agents. Give every agent a dedicated mailbox, capture inbound mail, archive message evidence, review mail safely, and send outbound mail from connected domains. Website · App · Docs · Quickstart · Self-hosting · Storybook <a h
| Stars | 62 |
| Forks | 2 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 65.8124105901652/100 |
| Open Issues | 2 |
| Last Updated | 2026-08-01 |
| Created | 2026-06-19 |
| Platforms | aws, cli, docker, k8s, node |
| Est. Tokens | ~15k |
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agentteam-email is Open-source email infrastructure for AI agents.. It is categorized as a Agent Tool with 62 GitHub stars.
agentteam-email is primarily written in TypeScript. It covers topics such as agent-skills, ai, ai-agents.
You can find installation instructions and usage details in the agentteam-email GitHub repository at github.com/agentteamhq/agentteam-email. The project has 62 stars and 2 forks, indicating an active community.
agentteam-email is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to agentteam-email on Agent Skills Hub include FlareMo, ai-context, minshop. 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: