by denoland · Agent Tool · ★ 91
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is skills safe to install? View the security audit →
Deno Development Skills Modern Deno development knowledge for AI coding assistants. These skills teach your AI assistant how to build Deno applications using current best practices. Skills Targets Deno 2.9+. Changed in 2.0 , , and have been merged into the single deno skill. Their content overlapped heavily, and project scaffolding is now handled by rather than by pasted templates. If you installed any of the three individually, install instead. Key Principles Deno works like npm and bun - reads , deno ad
/plugin marketplace add denoland/skills
/plugin install deno-skills@denoland-skills
Taken from the project's README on GitHub. Check the security audit before running it.
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 →
| Stars | 91 |
| Forks | 8 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 73/100 |
| Open Issues | 2 |
| Last Updated | 2026-07-29 |
| Created | 2026-01-22 |
| Platforms | claude-code, node |
| Est. Tokens | ~11k |
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skills is Deno skills for AI coding assistants. Covers using Deno as a package manager and runtime, migrating from npm/yarn/pnpm/bun, Fresh, and Deno Deploy.. It is categorized as a Agent Tool with 91 GitHub stars.
skills is primarily written in TypeScript. It covers topics such as agent-skills, ai, claude-code.
The README on GitHub (github.com/denoland/skills) gives: /plugin marketplace add denoland/skills , then /plugin install deno-skills@denoland-skills. Usage details are in the same README.
skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to skills on Agent Skills Hub include zypher-agent, agnix, agents. 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: