by softspark · MCP Server · ★ 180
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npm install -g @softspark/ai-toolkit
npx @softspark/ai-toolkit install
Taken from the project's README on GitHub. Check the security audit before running it.
Flagged: spawns subprocesses. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 180 |
| Forks | 21 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 71/100 |
| Open Issues | 1 |
| Last Updated | 2026-10-15 |
| Created | 2026-03-26 |
| Platforms | claude-code, cli, codex, gemini, mcp, python |
| Est. Tokens | ~16k |
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.
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: