by softspark · MCP Server · ★ 142
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
ai-toolkit Professional-grade AI coding toolkit with multi-platform support. Machine-enforced safety, 99 skills, 44 agents, expanded lifecycle hooks, persona presets, experimental opt-in plugin packs, and benchmark tooling — works with Claude, Cursor, Windsurf, Copilot, Gemini, Cline, Roo Code, Aider, Augment, Google Antigravity, Codex CLI, and opencode, ready in 60 seconds. What's New in v2.8.0 SARIF + permissions audit — emits SARIF 2.1.0 for GitHub Advanced Security Code Scanning; prints per-skill tool usage (e.g. "50 skills use Bash") and flags broad Bash+Write+Edit access. Signed npm provenance — the publish workflow now runs with ; published tarballs carry a cryptographic build-origin attestation verifiable via . Checksum-pinned URL sources — now persists of every URL-sourced rule/hook and warns on upstream content change. turns mismatches into a hard CI failure.
| Stars | 142 |
| Forks | 18 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 57.044/100 |
| Last Updated | 2026-05-04 |
| Created | 2026-03-26 |
| Platforms | claude-code, cli, codex, gemini, mcp, python |
| Est. Tokens | ~241k |
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ai-toolkit is Professional-grade AI coding toolkit: 94 skills, 44 agents, multi-platform (Claude, Cursor, Windsurf, Copilot, Gemini, Cline, Roo Code, Aider, Augment, Antigravity, Codex CLI, opencode).. It is categorized as a MCP Server with 142 GitHub stars.
ai-toolkit is primarily written in Python. It covers topics such as ai-agents, ai-skills, anthropic.
You can find installation instructions and usage details in the ai-toolkit GitHub repository at github.com/softspark/ai-toolkit. The project has 142 stars and 18 forks, indicating an active community.
ai-toolkit is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ai-toolkit on Agent Skills Hub include kasetto, mco, snip. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.