by evidence-codes · Claude Skill · ★ 6
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 | 6 |
| Forks | 0 |
| Language | JavaScript |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 65/100 |
| Last Updated | 2026-10-20 |
| Created | 2026-10-16 |
| Platforms | claude-code, cli, node |
| Est. Tokens | ~15k |
A design workflow for sites built with AI: honest screenshots, design adoption, learned house rules, safe previews. Layers on impeccable for Claude Code.
Looking for a loom alternative? If you're comparing loom 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.
Design system skills for agentic tools
Vendor-neutral MCP configuration manager — one CLI to add, toggle, and audit MCP servers and skills across eve
UX and design skills for Claude Code — research, critique, accessibility, journey mapping and more.
A Claude skill that audits designs against 19 professional design rules.
CLI-first MCP server for composer-based Kirby CMS projects — inspect blueprints/templates/plugins, interact wi
Advanced Claude Code CLI toolkit - agents, hooks, skills, MCP servers, phased development, site intelligence d
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: