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 Meet-Miyani · Codex Skill · ★ 275
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is compose-skill safe to install? View the security audit →
compose-skill Make your AI coding tool actually understand Compose. A comprehensive agent skill for Jetpack Compose and Compose Multiplatform (KMP/CMP). What This Skill Does This is an AI agent skill — not a library, not documentation. Install it once, and your AI coding agent (Codex, Cursor, Claude Code) gains production-grade knowledge of the entire Compose app
| Stars | 275 |
| Forks | 20 |
| Language | Shell |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 71.6947940087007/100 |
| Open Issues | 3 |
| Last Updated | 2026-06-09 |
| Created | 2026-03-14 |
| Platforms | claude-code, cli, codex |
| Est. Tokens | ~24k |
These tools work well together with compose-skill for enhanced workflows:
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compose-skill is AI agent skill for Jetpack Compose & Compose Multiplatform (KMP/CMP). MVI architecture, Navigation 3, Koin/Hilt, Ktor, Room, DataStore, Paging 3, Coil, coroutines/Flow, animations, performance, access. It is categorized as a Codex Skill with 275 GitHub stars.
compose-skill is primarily written in Shell. It covers topics such as agent-skills, ai, android.
You can find installation instructions and usage details in the compose-skill GitHub repository at github.com/Meet-Miyani/compose-skill. The project has 275 stars and 20 forks, indicating an active community.
compose-skill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to compose-skill on Agent Skills Hub include FantasyPremierLeague, compose-skill, kotlin-footguns. 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.
Sources & who's responsible: