by skissue · LLM Plugin · ★ 96
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 | 96 |
| Forks | 10 |
| Language | Emacs Lisp |
| Category | LLM Plugin |
| License | GPL-3.0 |
| Quality Score | 60/100 |
| Open Issues | 2 |
| Last Updated | 2026-02-26 |
| Created | 2025-01-19 |
| Est. Tokens | ~4k |
#+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]]...
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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: