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 AlephantAI · Codex Skill · ★ 108
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is AIephant-AI-Agent-Gateway safe to install? View the security audit →
Alephant AI Gateway Open source, OpenAI-compatible AI Gateway for 50+ providers, 320+ models, and custom model backends. Route traffic, adapt provider APIs, cache responses, enforce policy, and observe every request from one developer-friendly integration point. <img alt="Discord" src="https://img.shields.io/badge/Discord-5865
| Stars | 108 |
| Forks | 15 |
| Language | Rust |
| Category | Codex Skill |
| License | GPL-3.0 |
| Quality Score | 68.9178019325313/100 |
| Open Issues | 1 |
| Last Updated | 2026-06-12 |
| Created | 2026-05-09 |
| Platforms | claude-code, rust |
| Est. Tokens | ~22k |
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AIephant-AI-Agent-Gateway is Alephant is an open-source AI Agent Gateway for routing, tracking, and controlling LLM usage across AI agents, members, and workflows, and for publishing agent capabilities as paid endpoints with x402. It is categorized as a Codex Skill with 108 GitHub stars.
AIephant-AI-Agent-Gateway is primarily written in Rust. It covers topics such as agent, ai, ai-agent.
You can find installation instructions and usage details in the AIephant-AI-Agent-Gateway GitHub repository at github.com/AlephantAI/AIephant-AI-Agent-Gateway. The project has 108 stars and 15 forks, indicating an active community.
AIephant-AI-Agent-Gateway is released under the GPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to AIephant-AI-Agent-Gateway on Agent Skills Hub include oreilly-ai-agents, Commonly-used-high-value-skills, WorkflowAI. 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: