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 NeoLabHQ · Claude Skill · ★ 1.4k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is context-engineering-kit safe to install? View the security audit →
Advanced context engineering techniques and patterns for Claude Code, OpenCode, Cursor, Antigravity and more. Quick Start · Plugins · Github Action · Reference · Docs Context Engineering Kit Hand-crafted collection of advanced context engineering techniques and patterns with minimal token footprint, focused on improving agent result quality and predictability. The marketplace is based on prompts used daily by our company developers for a long time, supplemented by plugins from benchmarked papers and high-quality projects. Key Features Simple to Use - Easy to install and use without any dependencies. Contains automatically used skills and self-explanatory commands. Token-Efficient - Carefully crafted prompts and
| Stars | 1,412 |
| Forks | 149 |
| Language | TypeScript |
| Category | Claude Skill |
| License | GPL-3.0 |
| Quality Score | 63.6484720367557/100 |
| Open Issues | 6 |
| Last Updated | 2026-08-26 |
| Created | 2025-11-13 |
| Platforms | claude-code, cli, gemini, node |
| Est. Tokens | ~24k |
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context-engineering-kit is Hand-crafted Claude Code Skills focused on improving agent results quality. Compatible with OpenCode, Cursor, Antigravity, Gemini CLI, and others. Includes CodeRabbit open-source alternative.. It is categorized as a Claude Skill with 1.4k GitHub stars.
context-engineering-kit is primarily written in TypeScript. It covers topics such as agent, ai, claude.
You can find installation instructions and usage details in the context-engineering-kit GitHub repository at github.com/NeoLabHQ/context-engineering-kit. The project has 1.4k stars and 149 forks, indicating an active community.
context-engineering-kit is released under the GPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to context-engineering-kit on Agent Skills Hub include agnix, axonhub, Unity-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.
Sources & who's responsible: