by Railly · Agent Tool · ★ 624
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
bunx tinte from --emit-script # print the extraction script for a live page
bunx tinte from --normalize <json> # turn captured styles into a draft identityTaken 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 | 624 |
| Forks | 38 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 66/100 |
| Open Issues | 5 |
| Last Updated | 2026-08-08 |
| Created | 2023-10-12 |
| Platforms | cli, node, vscode |
| Est. Tokens | ~15k |
Tinte Compile your design system into an Agent Plugin. Extract an identity from any reference, emit SKILL.md + tokens.css, lint what bypasses your tokens. A coding agent writes on-brand UI when it can read your tokens as an API and your composition rules as instructions. Tinte compiles both from one identity config into a single installable artifact.
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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: