Flagged: reads agent memory. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by vincentkoc · MCP Server · ★ 143
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is awesome-openclaw safe to install? View the security audit →
Awesome OpenClaw English Русский A curated list of high-signal resources for OpenClaw (formerly Moltbot, originally Clawdbot): frameworks, skills, tooling, deployments, and real-world use cases. OpenClaw is an open-source, self-hosted AI agent framework that connects LLMs to tools, messaging channels, and memory systems so agents can execute real workflows. Formerly known as Moltbot and Clawdbot, it is designed for extensibility through skills, plugins, and ecosystem integrations. Navigation Alternative Architectures Community Channels Contributing Curated Collections [Developer Tooling an
| Stars | 143 |
| Forks | 75 |
| Category | MCP Server |
| License | MIT |
| Quality Score | 55.4082377018614/100 |
| Open Issues | 51 |
| Last Updated | 2026-04-20 |
| Created | 2026-02-09 |
| Platforms | mcp |
| Est. Tokens | ~46k |
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awesome-openclaw is Curated awesome list for OpenClaw (formerly Moltbot/Clawdbot): skills, plugins, memory systems, MCP tools, deployment stacks, ecosystem platforms, and developer tooling.. It is categorized as a MCP Server with 143 GitHub stars.
You can find installation instructions and usage details in the awesome-openclaw GitHub repository at github.com/vincentkoc/awesome-openclaw. The project has 143 stars and 75 forks, indicating an active community.
awesome-openclaw is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to awesome-openclaw on Agent Skills Hub include agent-skills, awesome-molt-ecosystem, awesome-agent-skills. 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: