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 skissue · LLM Plugin · ★ 96
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is llm-tool-collection safe to install? View the security audit →
#+title: LLM Tool Collection #+author: Ad A curated collection of tools to empower Emacs-based LLM agents. Table of Contents :PROPERTIES: :TOC: :include all :depth 2 :force (nothing) :ignore (this) :local (nothing) :END: :CONTENTS: [[#installation][Installation]] [[#usage][Usage]] [[#tool-list][Tool List]] [[#filesystem][Filesystem]] [[#buffers][Buffers]] [[#search][Search]] [[#system][System]] [[#removed-tools][Removed Tools]] [[#contributing][Contributing]] [[#faster-iteration][Faster Iteration]] :END: Installation :PROPERTIES: :CUSTOMID: installation :END: This package is not yet in any repositories. Install it with your favorite from-Git method! Quick and dirty: clone the repository and add it to load-path. #+beginsrc elisp (add-to-list 'load-path "/path/to/llm-tool-collection/") (require 'llm-tool-collection) #+endsrc Usage :PROPERTIES: :CUSTOMID: usage :END: Quick and dirty: register every tool.
| Stars | 96 |
| Forks | 10 |
| Language | Emacs Lisp |
| Category | LLM Plugin |
| License | GPL-3.0 |
| Quality Score | 59.5269414862032/100 |
| Open Issues | 2 |
| Last Updated | 2026-02-26 |
| Created | 2025-01-19 |
| Est. Tokens | ~4k |
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llm-tool-collection is Curated collection of tools for agentic LLMs in Emacs. It is categorized as a LLM Plugin with 96 GitHub stars.
llm-tool-collection is primarily written in Emacs Lisp. It covers topics such as agent, agentic-ai, agents.
You can find installation instructions and usage details in the llm-tool-collection GitHub repository at github.com/skissue/llm-tool-collection. The project has 96 stars and 10 forks, indicating an active community.
llm-tool-collection is released under the GPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to llm-tool-collection on Agent Skills Hub include oreilly-ai-agents, VT.ai, atlas-mcp-server. 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: