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 giuseppe-trisciuoglio · Claude Skill · ★ 343
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is developer-kit safe to install? View the security audit →
🌐 Languages: English Español A modular AI plugin system that supercharges your development workflow across languages and frameworks. Installation • Quick Start • Plugins • Documentation • Changelog Why Developer Kit? Developer Kit is a modular plugin marketplace for Claude Code that teaches Claude how to perform development tasks in a repeatable, high-quality way. Instead of generic AI responses, you get doma
| Stars | 343 |
| Forks | 40 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 74.6480345337244/100 |
| Open Issues | 17 |
| Last Updated | 2026-09-10 |
| Created | 2025-10-21 |
| Platforms | aws, claude-code, cli, python |
| Est. Tokens | ~16k |
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developer-kit is Modular plugin marketplace for Claude Code and agentic CLIs, with validated, spec-driven skills, agents, commands, and workflows for Java, TypeScript, Python, PHP, AWS, and AI.. It is categorized as a Claude Skill with 343 GitHub stars.
developer-kit is primarily written in Python. It covers topics such as agentic-code, agentic-coding, agents.
You can find installation instructions and usage details in the developer-kit GitHub repository at github.com/giuseppe-trisciuoglio/developer-kit. The project has 343 stars and 40 forks, indicating an active community.
developer-kit is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to developer-kit on Agent Skills Hub include terrashark, claude-starter-kit, ios-simulator-skill. 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: