by arunalabs · Agent Tool · ★ 70
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.
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 | 70 |
| Forks | 7 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 53/100 |
| Open Issues | 2 |
| Last Updated | 2025-05-27 |
| Created | 2024-11-07 |
| Platforms | claude-code, gemini, node |
| Est. Tokens | ~1773k |
Mode Mode writes code automatically with no manual approval or merge steps. It lets you connect directly to your favorite language models, and instantly upgrade to the latest models. Mode is open-source, has no third-party servers, token limits, or upgrade fees.
These tools work well together with mode for enhanced workflows:
Looking for a mode alternative? If you're comparing mode 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.
[archived] c4 GenAI Suite
Open source chat kit engineered for seamless interaction with AI models.
ToolMate AI, developed by Eliran Wong, is a cutting-edge AI companion that seamlessly integrates agents, tools
Python version of 📦 repopack (https://github.com/yamadashy/repopack) by yamadashy (https://github.com/yamadas
Home Assistant add-on: Claude Code, OpenAI/GPT, Gemini
Modern AI chatbot supporting multiple LLMs. Switch between Gemini, Mistral, Llama, Claude and ChatGPT.
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: