by Owl-Listener · Agent Tool · ★ 2.5k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
/plugin marketplace add Owl-Listener/designer-skills
git clone https://github.com/Owl-Listener/designer-skills /tmp/designer-skillsTaken from the project's README on GitHub. Check the security audit before running it.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. 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 | 2,512 |
| Forks | 359 |
| Language | Markdown |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 68/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-05 |
| Created | 2026-03-07 |
| Platforms | claude-code |
| Est. Tokens | ~19k |
The Designer Skills Pack Design skills for the agent era, written so an AI agent can actually use them. 239 skills and 88 commands across 33 plugins, in five collections, for Claude Code and Gemini CLI. Getting started (no coding needed) These skills run inside an AI coding assistant. The easiest place to use them is Claude Code, and it takes three steps. No terminal required. 1. Get Claude Code.
These tools work well together with designer-skills for enhanced workflows:
Looking for a designer-skills alternative? If you're comparing designer-skills with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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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: