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 caidaoli · Codex Skill · ★ 418
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ccLoad safe to install? View the security audit →
ccLoad AI API gateway for Claude Code, Codex, Gemini, and OpenAI. English | 简体中文 Smart routing Cost control ccLoad removes the operational mess of running multiple AI API upstreams. It keeps Claude Code, Codex, Gemini, and OpenAI-compatible clients on one stable gateway, then handles upstream selection, failover, cooldown, protocol conversion, request visibility, and cost limits in the service instead of in every client script. 🎯 What ccLoad Solves Common failure modes when you run several AI API channels: Manual channel switching: Different keys, validity windows, quotas, and upstream URLs quickly become hard to manage. Rate limits and upstream failures: , , , expired keys, and ove
| Stars | 418 |
| Forks | 74 |
| Language | Go |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 65.6282555960632/100 |
| Last Updated | 2026-10-03 |
| Created | 2025-09-08 |
| Platforms | claude-code, codex, gemini, go |
| Est. Tokens | ~27k |
These tools work well together with ccLoad for enhanced workflows:
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ccLoad is AI API gateway that ends manual channel switching with smart routing, auto failover, exponential cooldown, multi-URL scheduling, live request monitoring and soft-error detection.. It is categorized as a Codex Skill with 418 GitHub stars.
ccLoad is primarily written in Go. It covers topics such as ai, ai-gateway, anthropic.
You can find installation instructions and usage details in the ccLoad GitHub repository at github.com/caidaoli/ccLoad. The project has 418 stars and 74 forks, indicating an active community.
ccLoad is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ccLoad on Agent Skills Hub include ccproxy, busbar, dario. 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: