by antgroup · Codex Skill · ★ 114
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ClawAegis English | 简体中文 ClawAegis builds a multi-dimensional, defense-in-depth runtime security architecture for OpenClaw-style agents, implementing five-layer defense across the full lifecycle of LLM agents in various Claw environments — from initialization to execution — covering security and reliability risks in agent execution services, including skill poisoning, memory contamination, intent misalignment, malicious execution, and resource exhaustion. As a lightweight built-in security plugin, ClawAegis proactively triggers defense mechanisms at critical OpenClaw stages to dynamically safeguard agent runtime security. It also provides configurable risk identification and response policies for security operators to flexibly and extensibly address agent runtime threats, as well as sensitive file and skill asset protection for everyday users to safeguard personal privacy and assets. 💫 Architecture ClawAegis builds a multi-dimensional, defense-in-depth architecture for OpenClaw, forming a complete security closed loop across the full lifecycle from initialization to execution.
| Stars | 114 |
| Forks | 14 |
| Language | TypeScript |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 63.9101534709598/100 |
| Open Issues | 3 |
| Last Updated | 2026-04-13 |
| Created | 2026-03-31 |
| Platforms | node |
| Est. Tokens | ~205k |
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ClawAegis is ClawAegis is a lightweight plugin providing full-lifecycle runtime protection for OpenClaw.. It is categorized as a Codex Skill with 114 GitHub stars.
ClawAegis is primarily written in TypeScript. It covers topics such as agent, agent-security, llm.
You can find installation instructions and usage details in the ClawAegis GitHub repository at github.com/antgroup/ClawAegis. The project has 114 stars and 14 forks, indicating an active community.
ClawAegis is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to ClawAegis on Agent Skills Hub include JoySafeter, membrane, rampart. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.