by alvarobartt · AI Tool · ★ 55
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
cargo install sys1 --features cpuTaken from the project's README on GitHub. Check the security audit before running it.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 55 |
| Forks | 4 |
| Language | Rust |
| Category | AI Tool |
| License | Apache-2.0 |
| Quality Score | 62/100 |
| Open Issues | 4 |
| Last Updated | 2026-10-10 |
| Created | 2026-09-22 |
| Platforms | rust |
| Est. Tokens | ~22k |
System One compatible API for open decision models, e.g. Laya, written in Rust. Features , and , the usual suspects System One compatible API Spec with release candidate! Dynamic, token-based batching Support for ModernBert with Laya custom decision heads CPU, CUDA and Metal (MPS) supported 14ms per query on NVIDIA RTX Pro 6000 Get started Install it with support for CPU, Metal or CUDA.
Looking for a sys1 alternative? If you're comparing sys1 with other ai tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
System 1 decision models (Jev, Laya, Cua-S1) as brain for agents: Browser use, computer use, games and robotic
A self-hosted API and web interface for Laya’s structured decision models, compatible with the TypeSafe Jev AP
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Native DeepSeek Harness (DSH) plugin integrating TypeSafe Jev or Decision api like luna as a System One decisi
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JevK5: open-weight alternative to TypeSafe Jev. Typed decisions with probabilities in one forward pass; Apache
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: