by brainstormity · Agent Tool · ★ 227
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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 | 227 |
| Forks | 47 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 71/100 |
| Open Issues | 1 |
| Last Updated | 2026-10-21 |
| Created | 2026-09-19 |
| Platforms | python |
| Est. Tokens | ~15k |
Jev X Sentiment Analysis An on-demand crypto market intelligence and decision-support terminal powered by TypeSafe AI's System One model (Jev). The tool allows you to search any cryptocurrency (such as BTC, SOL, or ETH), select how many tweets you want to analyze (from 50 up to 1,000 tweets), and receive an instant, data-backed trading decision (Buy, Sell, Hold, or Take Profit) based on real-time...
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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: