by AarambhDevHub · Agent Tool · ★ 110
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/AarambhDevHub/aarambh-studio.gitTaken 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 | 110 |
| Forks | 35 |
| Language | Rust |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 69/100 |
| Last Updated | 2026-08-21 |
| Created | 2026-06-24 |
| Platforms | rust |
| Est. Tokens | ~25k |
aarambh-studio From first principles. From zero. From Rust. Sanskrit: beginning — a ground-up language model system in Rust. aarambh-studio is a decoder-only language model implementation built with Rust and Candle.
These tools work well together with aarambh-studio for enhanced workflows:
Looking for a aarambh-studio alternative? If you're comparing aarambh-studio with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
动手学大模型全栈：CS336 中文精讲 · PyTorch 手搓 Transformer · 单卡复现 Pretrain/SFT/LoRA/DPO/GRPO/RLVR · PEFT/Agent/RAG 落地（含真实实验、
A curated, comprehensive collection of open-source AI tools, frameworks, datasets, courses, and seminal papers
Your SDK solves all of this. One interface. Unified logic. Local + hosted models. Fine-tuning. Agent tools. En
Free, open-source app that runs AI chat models on your own computer — and lets computers team up over the inte
CLI-native local AI image and video generation for people, scripts, and agents — CUDA on Linux, Metal on macOS
irresponsible innovation. Try now at https://chat.dev/
Explore other popular agent tool tools:
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: