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 zestones · Agent Tool · ★ 59
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Aria safe to install? View the security audit →
In every factory there's one person who knows when a machine is about to fail — they hear it. When they retire, that knowledge disappears forever. ARIA captures it, watches the equipment, and diagnoses what goes wrong — so the one who knows is never the last. Winner — Best Use of Claude Managed Agents · Anthropic x Cerebral Valley "Build With Opus 4.7" Hackathon The problem Setting up industrial maintenance software costs €50k–€500k and takes six months of specialists. So most plants don't bother — they wait for machines to break. But that knowledge already exists. The operator hears the change in vibration two days before the bearing fails. They wrote it in the shift log. T
| Stars | 59 |
| Forks | 14 |
| Language | TypeScript |
| Category | Agent Tool |
| Quality Score | 64.7903381385439/100 |
| Open Issues | 2 |
| Last Updated | 2026-05-18 |
| Created | 2026-04-21 |
| Platforms | node |
| Est. Tokens | ~349k |
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Aria is In every factory there's one person who knows when a machine is about to fail — they hear it. When they retire, that knowledge disappears forever. ARIA captures it, watches the equipment, and diagnose. It is categorized as a Agent Tool with 59 GitHub stars.
Aria is primarily written in TypeScript. It covers topics such as ai, anthropic, factory-automation.
You can find installation instructions and usage details in the Aria GitHub repository at github.com/zestones/Aria. The project has 59 stars and 14 forks, indicating an active community.
The top alternatives to Aria on Agent Skills Hub include pasal, claude-historian-mcp, semiont. 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: