by vyokky · Agent Tool · ★ 232
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
None of the 43 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 43 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 | 232 |
| Forks | 16 |
| Language | CSS |
| Category | Agent Tool |
| Quality Score | 63/100 |
| Open Issues | 2 |
| Last Updated | 2025-06-23 |
| Created | 2024-11-14 |
| Platforms | browser |
| Est. Tokens | ~100k |
Large Language Model-Brained GUI Agents: A Survey   Welcome to the repository accompanying our survey paper on Large Language Model-Brained GUI Agents. This repository contains the code for the searchable paper page and the assets used in the paper.
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AI handles execution, humans own the direction, and every run becomes an inspectable research artifact on disk
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 43 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: