by yetone · Agent Tool · ★ 1.9k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npx skills add yetone/native-feel-skill -gTaken 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 | 1,909 |
| Forks | 76 |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 63/100 |
| Last Updated | 2026-05-30 |
| Created | 2026-05-14 |
| Platforms | browser |
| Est. Tokens | ~9k |
native-feel.skill "Cross-platform development AND near-native performance — refuse the trade-off." An Agent Skill for designing cross-platform desktop apps that feel native — distilled from Raycast's 2.0 technical deep-dive and grounded in reverse-engineering of the shipping binary. Two goals usually pull against each other: convenient cross-platform development, and near-native performance.
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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: