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 qforge-dev · Agent Tool · ★ 94
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is torque safe to install? View the security audit →
Torque Torque is a declarative, fully typesafe DSL for quickly building complex LLM synthetic datasets. Compose conversations like components, generate realistic variations with any model efficiently. ✨ Features 🎯 Declarative DSL - Compose conversations like components 🔒 Fully Typesafe - Zod schemas with complete type inference 🔌 Provider Agnostic - Generate with any AI SDK provider (OpenAI, Anthropic, DeepSeek, vLLM, LLaMA.cpp etc.) 🤖 AI-Powered Content - Generate realistic varied datasets automatically without complicated scripts 🎭 Faker Integration - Built-in Faker.js with automatic seed synchronization for reproducible fake data 💰 Cache Optimized - Reuses context across generations to reduce costs 📉 Prompt Optimized - Concise, optimized structures, prompts and generation workflow lets you use smaller, cheaper models ♻️ Reusable Patterns - Build libraries of conversation templates ⚡ Concurrent Generati
| Stars | 94 |
| Forks | 5 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 60.2892304310514/100 |
| Last Updated | 2025-11-19 |
| Created | 2025-10-30 |
| Platforms | node |
| Est. Tokens | ~24k |
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torque is Torque is a Declarative, typesafe DSL for building synthetic LLM datasets — compose conversations like React components. It is categorized as a Agent Tool with 94 GitHub stars.
torque is primarily written in TypeScript. It covers topics such as ai, ai-sdk, anthropic.
You can find installation instructions and usage details in the torque GitHub repository at github.com/qforge-dev/torque. The project has 94 stars and 5 forks, indicating an active community.
torque is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to torque on Agent Skills Hub include neurolink, ai-orchestra, ai-reviewer. 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.
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