by graniet · Agent Tool · ★ 365
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 | 365 |
| Forks | 90 |
| Language | Rust |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 59/100 |
| Open Issues | 33 |
| Last Updated | 2026-06-06 |
| Created | 2025-01-15 |
| Platforms | claude-code, cli, gemini, rust |
| Est. Tokens | ~123k |
LLM Note: This crate name previously belonged to another project. The current implementation represents a new and different library. The previous crate is now archived and will not receive any updates. ref: https://github.com/rustformers/llm LLM is a Rust library that lets you use multiple LLM backends in a single project: OpenAI, Anthropic (Claude), Ollama, DeepSeek, xAI, Phind, Groq, Google,...
These tools work well together with llm for enhanced workflows:
Looking for a llm alternative? If you're comparing llm with other agent tool tools, these 5 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
A collection of standardized Agent Skills to teach GitHub Copilot, Claude, Gemini and Cursor about modern Andr
A collection of Agent skills and Claude Code plugins for HashiCorp products.
Coding Agents skills for Synalinks OSS
Claude Code Skill Factory — A powerful open-source toolkit for building and deploying production-ready Claude
Lightweight registry to discover, install, and manage all public Claude plugins and agent skills for your favo
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: