by crisandrews · MCP Server · ★ 64
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ClawCode safe to install? View the security audit →
ClawCode Turn Claude Code into a persistent agent — memory, personality, voice, messaging, and more. Quick Setup · Why · Features · Skills · <a href="#going
/plugin install clawcode@claude-communityTaken from the project's README on GitHub. Check the security audit before running it.
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 →
| Stars | 64 |
| Forks | 16 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 62/100 |
| Open Issues | 13 |
| Last Updated | 2026-10-17 |
| Created | 2026-04-09 |
| Platforms | browser, claude-code, mcp, node |
| Est. Tokens | ~21k |
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ClawCode is Persistent agents for Claude Code as a plugin, not a harness. Memory, personality, messaging across WhatsApp, Telegram, and Discord, plus a service mode for 24/7 runs. Imports from OpenClaw.. It is categorized as a MCP Server with 64 GitHub stars.
ClawCode is primarily written in TypeScript. It covers topics such as ai-agent, autonomous-agent, claude.
The README on GitHub (github.com/crisandrews/ClawCode) gives: /plugin install clawcode@claude-community. Usage details are in the same README.
ClawCode is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ClawCode on Agent Skills Hub include openrouter-mcp-multimodal, MoltBrain, xclaude-plugin. 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: