by wasp-lang · Agent Tool · ★ 16.2k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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 | 16,182 |
| Forks | 1,960 |
| Language | MDX |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 67/100 |
| Open Issues | 105 |
| Last Updated | 2026-10-28 |
| Created | 2023-12-01 |
| Platforms | aws, claude-code |
| Est. Tokens | ~17k |
Welcome to your new SaaS App! 🎉 https://github.com/user-attachments/assets/3856276b-23e9-455e-a564-b5f26f4f0e98 You've decided to build a SaaS app with the Open SaaS template. Great choice! This template is: fully open-source completely free to use and distribute comes with a ton
These tools work well together with open-saas for enhanced workflows:
Looking for a open-saas alternative? If you're comparing open-saas 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.
AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework
Clone any website with one command using AI coding agents
📦 Repomix is a powerful tool that packs your entire repository into a single, AI-friendly file. Perfect for w
OmO: Just type "mass ulw" keyword with your prompt. Now you are the master of graph engineering.
Sim is the collaborative workspace to build, deploy, and monitor AI agents and workflows. Used by 100,000+ bui
Mastra is the modern TypeScript framework for AI-powered applications and agents.
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: