by SandroHub013 · Claude Skill · ★ 3
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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 | 3 |
| Forks | 0 |
| Language | JavaScript |
| Category | Claude Skill |
| Quality Score | 50/100 |
| Open Issues | 7 |
| Last Updated | 2026-08-12 |
| Created | 2026-07-27 |
| Platforms | browser, claude-code, node |
| Est. Tokens | ~13k |
Awwwards is not a style, it's a scoring system. A Claude Code skill that encodes the Design 40 / Usability 30 / Creativity 20 / Content 10 rubric as an 8-phase build method, with 18 references, working templates and a runnable real-browser audit.
Looking for a awwwards-skill alternative? If you're comparing awwwards-skill with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Audits AI-generated frontend and rewrites it so it stops looking AI-made: purple-gradient slop and the "tastef
Curated motion design agent skills: GSAP, Motion, Remotion, Lottie and Rive for web animation, programmatic vi
Free, open-source MCP server that gives AI coding agents (Claude Code, Codex, Cursor, OpenCode, ZCode…) design
Claude Code plugin that turns a text brief or a photo into a production-ready 3D asset through Blender: rebuil
Agent Ops for your second brain - a 3D IDE for Obsidian built on Three.js. Visualize your vault as a code city
Real-time dashboard for Claude Code and Codex AI coding agents: live terminals, status alerts, prompt queues,
Explore other popular claude skill tools:
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: