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 arc53 · Agent Tool · ★ 223
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is llm-price-compass safe to install? View the security audit →
LLM price compass 🧭 Open-Source LLM inference cost comparison for compute nomads This project aims to collect benchmark data from different GPUs on various clouds/providers and compare it to fixed per token costs from other providers. By utilizing our platform, you can make informed decisions on cost-effective LLM options, affordable language models, and efficient LLM GPU selections. Our comprehensive LLM Price Comparison tool empowers users to evaluate multiple AI models and provides insights into AI model pricing guides. This project will help you choose the right GPU and cloud provider for the model of your choice—facilitating GPU inference and LLM GPU benchmarks. Dashboard Contributing Please refer to the [CONTRIB
| Stars | 223 |
| Forks | 9 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 60.9649399651267/100 |
| Open Issues | 3 |
| Last Updated | 2024-12-16 |
| Created | 2024-08-12 |
| Platforms | node |
| Est. Tokens | ~28k |
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llm-price-compass is This project collects GPU benchmarks from various cloud providers and compares them to fixed per token costs. Use our tool for efficient LLM GPU selections and cost-effective AI models. LLM provider p. It is categorized as a Agent Tool with 223 GitHub stars.
llm-price-compass is primarily written in TypeScript. It covers topics such as benchmark, gpu, hacktoberfest.
You can find installation instructions and usage details in the llm-price-compass GitHub repository at github.com/arc53/llm-price-compass. The project has 223 stars and 9 forks, indicating an active community.
llm-price-compass is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to llm-price-compass on Agent Skills Hub include awesome-hosting, vibe, wren-engine. 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: