No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by smallcloudai · Agent Tool · ★ 68
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is refact-lsp safe to install? View the security audit →
⚠️ ARCHIVED This repository has been archived. Active development continues in smallcloudai/refact. Refact Agent This is a small executable written in Rust, a part of the Refact Agent project. Its main job is to live inside your IDE quietly and keep AST and VecDB indexes up to date. It is well-written: it will not break if you edit your files quickly or switch branches, it caches vectorization model responses so you don't have to wait for VecDB to complete indexing, AST supports connection graph between definitions and usages in many popular programming languages. Yes, it looks like an LSP server to IDE, hence the name.
| Stars | 68 |
| Forks | 30 |
| Language | Rust |
| Category | Agent Tool |
| License | BSD-3-Clause |
| Quality Score | 69.8453271461268/100 |
| Open Issues | 17 |
| Last Updated | 2025-02-21 |
| Created | 2023-08-08 |
| Platforms | rust |
| Est. Tokens | ~3758k |
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refact-lsp is Rust executable for Refact Agent, it lives inside your IDE and keeps AST and VecDB indexes up to date, offers agentic tools for an AI model to call. Yes, it works as a LSP server from IDE point of vie. It is categorized as a Agent Tool with 68 GitHub stars.
refact-lsp is primarily written in Rust. It covers topics such as agent, agents, ai.
You can find installation instructions and usage details in the refact-lsp GitHub repository at github.com/smallcloudai/refact-lsp. The project has 68 stars and 30 forks, indicating an active community.
refact-lsp is released under the BSD-3-Clause license, making it free to use and modify according to the license terms.
The top alternatives to refact-lsp on Agent Skills Hub include oreilly-ai-agents, deepcontext-mcp, utcp-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: