by Adityaraj0421 · Claude Skill · ★ 349
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/Adityaraj0421/naksha-studio.git ~/.claude/plugins/naksha
Taken 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 | 349 |
| Forks | 27 |
| Language | JavaScript |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 64/100 |
| Last Updated | 2026-10-18 |
| Created | 2026-03-09 |
| Platforms | claude-code, cli, gemini, node |
| Est. Tokens | ~21k |
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 modular UX, design, and product optimisation system for turning AI-built interfaces into production-grade ap
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
Access your terminal and your AI agent from any device — phone, tablet, desktop.
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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: