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 mrwogu · Agent Tool · ★ 377
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is promptscript safe to install? View the security audit →
PromptScript One Source of Truth for All Your AI Coding Assistants Write once. Compile to 37 AI coding agents: GitHub Copilot, Claude Code, Cursor, and more. Try Playground · Documentation · Quick Start · VS Code Extension The Problem ❌ Even 2–3 AI tools × many repos = dozens of config files drifting out of sync ❌ Security policy update? Manual c
| Stars | 377 |
| Forks | 2 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 73.0825065010809/100 |
| Open Issues | 9 |
| Last Updated | 2026-09-19 |
| Created | 2026-01-19 |
| Platforms | claude-code, cli, node |
| Est. Tokens | ~16k |
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promptscript is Prompt-as-Code for Enterprise AI. Standardize, audit, and deploy instructions across any AI coding assistant.. It is categorized as a Agent Tool with 377 GitHub stars.
promptscript is primarily written in TypeScript. It covers topics such as ai-tools, antigravity, claude.
You can find installation instructions and usage details in the promptscript GitHub repository at github.com/mrwogu/promptscript. The project has 377 stars and 2 forks, indicating an active community.
promptscript is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to promptscript on Agent Skills Hub include cortex-tms, agent-skills-cli, .claude. 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: