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 gonemedia · Agent Tool · ★ 267
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is aipointer safe to install? View the security audit →
AIPointer ⦿ The AI cursor companion. Hold a key, ask a question, get an answer about whatever your cursor is pointing at. macOS Apple Silicon · macOS Intel · Windows · Linux 🖱️ If AIPointer ⦿ is useful to you, a star 🌟 on GitHub helps the project stay alive. What it is AIPointer is an open-source desktop overlay. You hold a key (default: Right-Cmd on macOS, Right-Ctrl on Windows/Linux), a glassmorphism box pops up next to your cursor, you ask a question, and a vision-capable LLM answers about whatever's around the cursor. A screenshot of the cursor region, your prompt, and (optionally) your clipboard get sent to the provider you conf
| Stars | 267 |
| Forks | 29 |
| Language | TypeScript |
| Category | Agent Tool |
| Quality Score | 60.7152125152915/100 |
| Open Issues | 1 |
| Last Updated | 2026-07-27 |
| Created | 2026-05-13 |
| Platforms | gemini, node |
| Est. Tokens | ~19k |
These tools work well together with aipointer for enhanced workflows:
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aipointer is AI cursor assistant for macOS, Windows, Linux. Hold a hotkey, ask a question about what's on your screen, get an instant answer. Vision-capable AI overlay with OpenRouter, Anthropic, OpenAI, Gemini. L. It is categorized as a Agent Tool with 267 GitHub stars.
aipointer is primarily written in TypeScript. It covers topics such as ai, ai-assistant, ai-tools.
You can find installation instructions and usage details in the aipointer GitHub repository at github.com/gonemedia/aipointer. The project has 267 stars and 29 forks, indicating an active community.
The top alternatives to aipointer on Agent Skills Hub include aipointer, palot, project-raven. 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: