by ttguy0707 · Codex Skill · ★ 178
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
👾 下一代透明智能体架构 | Next-Gen Transparent Agent Architecture 🔍 全行为审计 | 🛡️ 两段式安全调用 | 🧠 双水位记忆 | ⏰ 心跳任务 📊 P0 级事故率降低 80% | 兼容 OpenClaw + Claude Code 技能生态
| Stars | 178 |
| Forks | 19 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 34.9/100 |
| Last Updated | 2026-04-30 |
| Created | 2026-04-07 |
| Platforms | claude-code, python |
| Est. Tokens | ~35k |
Looking for a CyberClaw alternative? If you're comparing CyberClaw with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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CyberClaw is 👾 下一代透明智能体架构 | Next-Gen Transparent Agent Architecture 🔍 全行为审计 | 🛡️ 两段式安全调用 | 🧠 双水位记忆 | ⏰ 心跳任务 📊 P0 级事故率降低 80% | 兼容 OpenClaw + Claude Code 技能生态. It is categorized as a Codex Skill with 178 GitHub stars.
CyberClaw is primarily written in Python. It covers topics such as agent, agent-framework, ai-agent.
You can find installation instructions and usage details in the CyberClaw GitHub repository at github.com/ttguy0707/CyberClaw. The project has 178 stars and 19 forks, indicating an active community.
CyberClaw is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to CyberClaw on Agent Skills Hub include ai-agents-from-zero, shellward, DeepMCPAgent. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.