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by SafeAI-Lab-X · Codex Skill · ★ 1.0k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ClawKeeper safe to install? View the security audit →
🦞🛡️ ClawKeeper: Comprehensive Safety Protection for OpenClaw Agents Through Skills, Plugins, and Watchers (aka The Norton for OpenClaw) SAFETY EXFOLIATE! SAFETY EXFOLIATE! ClawKeeper is a comprehensive real-time security framework designed for autonomous agent systems such as OpenClaw. It provides unified protection through three complementary approaches: skill-based safeguards at the instruction level, plugin-based enforcement at the runtime level, and a watcher-based independent monitoring agent for external oversight. 🔎 Overview ClawKeeper provides protection mechanisms across three complementary architectural layers: Skill-based Protection operates at the instruction level, injecting structured security policies directly into the agent context to enforce environment-specific constraints and cross-platform boundaries. Plugin-based Protection serves as an internal runtime enforcer, providing configuration hardening, proactive threat detection, and continuous
| Stars | 1,022 |
| Forks | 59 |
| Language | TypeScript |
| Category | Codex Skill |
| Quality Score | 66.5430383989818/100 |
| Open Issues | 8 |
| Last Updated | 2026-08-17 |
| Created | 2026-03-20 |
| Platforms | node |
| Est. Tokens | ~16k |
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ClawKeeper is ClawKeeper: Comprehensive Safety Protection for OpenClaw Agents Through Skills, Plugins, and Watchers (aka The Norton for OpenClaw). It is categorized as a Codex Skill with 1.0k GitHub stars.
ClawKeeper is primarily written in TypeScript. It covers topics such as agents, openclaw, plugins.
You can find installation instructions and usage details in the ClawKeeper GitHub repository at github.com/SafeAI-Lab-X/ClawKeeper. The project has 1.0k stars and 59 forks, indicating an active community.
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