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 steipete · Agent Tool · ★ 444
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is poltergeist safe to install? View the security audit →
# Poltergeist 👻 - The ghost that keeps your builds fresh—universal hot reload & file watcher The ghost that keeps your builds fresh 👻 A universal file watcher with auto-rebuild for any language or build system Poltergeist is an AI-friendly universal file-watcher that auto-detects any project and rebuilds them as soon as a file has been changed. Think for native apps, with automatic configuration, notifications and a smart build queue. It stands on the shoulders of giants and fills the glue layer that's been missing. Works on macOS, Linux, and Windows. Available as a standalone binary (no Node.js required) or npm package.
| Stars | 444 |
| Forks | 38 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 73.4513961670744/100 |
| Open Issues | 6 |
| Last Updated | 2026-09-19 |
| Created | 2025-07-29 |
| Platforms | node |
| Est. Tokens | ~17k |
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poltergeist is The ghost that keeps your builds fresh - Universal hot reload, file watcher and build automation for any language.. It is categorized as a Agent Tool with 444 GitHub stars.
poltergeist is primarily written in TypeScript. It covers topics such as automation, build, filewatcher.
You can find installation instructions and usage details in the poltergeist GitHub repository at github.com/steipete/poltergeist. The project has 444 stars and 38 forks, indicating an active community.
poltergeist is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to poltergeist on Agent Skills Hub include rulego, cheatengine-mcp-bridge, better-chatbot. 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: