by tingly-dev · Claude Skill · ★ 379
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npx tingly-box@latest
npx -y tingly-box@latestTaken from the project's README on GitHub.
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.
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 | 379 |
| Forks | 52 |
| Language | Go |
| Category | Claude Skill |
| License | MPL-2.0 |
| Quality Score | 71/100 |
| Open Issues | 148 |
| Last Updated | 2026-11-07 |
| Created | 2025-11-21 |
| Platforms | claude-code, go |
| Est. Tokens | ~18k |
Announcement: Here is fault record. Please update to the latest version to resolve known issues. Thank you for your continued support. Tingly Box Quick Start • Features • Integration • Documentation • Issues Tingly Box serves agents, coordinates AI models, optimizes context, and routes requests for maximum efficiency — with built-in remote control and secure, customizable integrations.
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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: