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 →
by hashgraph-online · MCP Server · ★ 101
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is awesome-ai-plugins safe to install? View the security audit →
Awesome Codex Plugins A curated list of awesome OpenAI Codex plugins, skills, and resources. OpenAI documents plugins and skills for Codex, packaging skills, MCP servers, and app integrations into shareable, installable bundles across the Codex app, CLI, and IDE extensions. Contents Start Here Official Plugins Community Plugins Plugin Development Guides & Articles Related Projects Start Here New plugin workflow:
| Stars | 101 |
| Forks | 67 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 68.2472713586315/100 |
| Open Issues | 24 |
| Last Updated | 2026-08-18 |
| Created | 2026-04-07 |
| Platforms | claude-code, cli, codex, gemini, mcp, python |
| Est. Tokens | ~19k |
These tools work well together with awesome-ai-plugins for enhanced workflows:
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awesome-ai-plugins is A curated list of awesome plugins for AI assistants including Claude Code, OpenAI Codex / ChatGPT, Gemini, Antigravity, Pi / Oh My Pi, Grok, OpenCode and More.. It is categorized as a MCP Server with 101 GitHub stars.
awesome-ai-plugins is primarily written in Python. It covers topics such as ai-assistant, ai-plugin, antigravity.
You can find installation instructions and usage details in the awesome-ai-plugins GitHub repository at github.com/hashgraph-online/awesome-ai-plugins. The project has 101 stars and 67 forks, indicating an active community.
awesome-ai-plugins is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to awesome-ai-plugins on Agent Skills Hub include awesome-ai-agent-skills, CodexFlow, awesome-claude-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.