by franzenzenhofer · Claude Skill · ★ 661
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. 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 | 661 |
| Forks | 16 |
| Language | Swift |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 69/100 |
| Open Issues | 1 |
| Last Updated | 2026-10-12 |
| Created | 2026-10-08 |
| Platforms | claude-code, cli, codex |
| Est. Tokens | ~19k |
Let your AI agents paint big arrows, boxes and text on your screen big-arrow-on-the-screen () is a macOS command-line tool, plus a skill for Claude Code and Codex, that draws an arrow and a sign on top of every window. Clicks go through to the app below, your keyboard focus stays where it is, and the arrow removes itself. MIT licensed.
These tools work well together with big-arrow-on-the-screen for enhanced workflows:
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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: