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 tbphp · Codex Skill · ★ 7.0k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is gpt-load safe to install? View the security audit →
GPT-Load A self-hosted AI gateway for multi-channel, multi-credential setups API keys, subscription accounts, traffic scheduling, failure handling, request logs, and usage accounting — behind a single entry point. English · 中文 · 日本語 Official Website Your application only needs one base URL and one AccessKey. Providers, accounts, credentials, models, and routing policy are all configured in the management UI. Sponsors and support Thanks to APIMart for sponsoring this project! APIMart is a low-cost API platform for AI image & video generation — GPT-Image-2 from $0.006/image,
| Stars | 6,961 |
| Forks | 771 |
| Language | Go |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 71.6823526449327/100 |
| Open Issues | 22 |
| Last Updated | 2026-09-23 |
| Created | 2025-06-06 |
| Platforms | claude-code, codex, gemini, go |
| Est. Tokens | ~19k |
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gpt-load is Self-hosted AI gateway for multi-channel, multi-credential setups — API keys and subscription accounts, scheduling, failover, request logs and usage. 自托管 AI 网关：多渠道多凭据统一接入，含密钥与订阅账号、调度容错、日志与用量。. It is categorized as a Codex Skill with 7.0k GitHub stars.
gpt-load is primarily written in Go. It covers topics such as ai-gateway, anthropic, api-gateway.
You can find installation instructions and usage details in the gpt-load GitHub repository at github.com/tbphp/gpt-load. The project has 7.0k stars and 771 forks, indicating an active community.
gpt-load is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to gpt-load on Agent Skills Hub include 9router, octopus, axonhub. 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: