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 Adityaraj0421 · Claude Skill · ★ 318
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is naksha-studio safe to install? View the security audit →
naksha Your agency's design brain. Always on, always yours. The Naksha design team, inside your terminal — 18 specialist roles activate automatically based on what you're building. Also available as a web workspace at naksha.ai. []() []() []() []() []() [. Deterministic anti-AI-slop lin
A Claude skill that audits designs against 19 professional design rules.
Design engineering system for AI coding agents — ship UI with craft-level quality. Install as an agent skill.
50 AI agent skills for affiliate marketing. Research trending content, write data-backed posts, generate infog
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naksha-studio is A virtual design team for Claude Code, Cursor, Windsurf, Gemini CLI, and Copilot — 26 roles, 62 commands, 15,000+ lines of expert design knowledge. Your agency's design brain, inside your terminal.. It is categorized as a Claude Skill with 318 GitHub stars.
naksha-studio is primarily written in HTML. It covers topics such as accessibility, ai, claude-code.
You can find installation instructions and usage details in the naksha-studio GitHub repository at github.com/Adityaraj0421/naksha-studio. The project has 318 stars and 23 forks, indicating an active community.
naksha-studio is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to naksha-studio on Agent Skills Hub include ux-ui-agent-skills, layr, ux-skill. 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.
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