by raintree-technology · MCP Server · ★ 84
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agent-starter safe to install? View the security audit →
agent-starter An opinionated multi-agent skill pack for Claude Code, Codex, and Cursor. Deep, handwritten skills for HCI usability modeling, Apple HIG Doctor guidance, copywriting, code cleanup, and TOON token savings. No orchestration framework. No aspirational YAML. Just agent-native project files generated from one shared skill source. Star History What you get 29 shipped skills:
| Stars | 84 |
| Forks | 9 |
| Language | JavaScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 73.6385330190997/100 |
| Open Issues | 13 |
| Last Updated | 2026-07-20 |
| Created | 2025-11-08 |
| Platforms | claude-code, cli, codex, mcp, node |
| Est. Tokens | ~15k |
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agent-starter is One manifest for agent skills, MCP servers, and stack profiles across Claude Code, Codex, and Cursor.. It is categorized as a MCP Server with 84 GitHub stars.
agent-starter is primarily written in JavaScript. It covers topics such as agent-config, ai-agents, anthropic.
You can find installation instructions and usage details in the agent-starter GitHub repository at github.com/raintree-technology/agent-starter. The project has 84 stars and 9 forks, indicating an active community.
agent-starter is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to agent-starter on Agent Skills Hub include caliber, codexmate, claude-historian-mcp. 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.
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