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 KatherLab · Agent Tool · ★ 82
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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Turn GitHub repositories into LLM-compatible tools. This repository contains the official code for the paper: LLM Agents Making Agent Tools Georg Wölflein, Dyke Ferber, Daniel Truhn, Ognjen Arandjelović and Jakob N. Kather Annual Meeting of the Association for Computational Linguistics (ACL), July 2025. Read abstract Tool use has turned large language models (LLMs) into powerful agents that can perform complex multi-step tasks by dynamically utilising external software components. However, these tools must be implemented in advance by human developers, hindering the applicability of LLM agents in domains which demand large numbers of highly specialised tools, like in life sciences and medicine. Motivated by the growing trend of scientific studies accompanied by public code repositories, we propose ToolMaker, a novel agentic framework that autonomously transforms papers with code into LLM-compatible tools. Given a short task description and a repository URL, ToolMaker autonomously installs required dependencies and generates code to perform the task, using a closed-loop self-correction mechanism to iteratively diagnose and rectify errors.
| Stars | 82 |
| Forks | 16 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 69.7317235297227/100 |
| Open Issues | 1 |
| Last Updated | 2025-05-16 |
| Created | 2025-02-16 |
| Platforms | python |
| Est. Tokens | ~157k |
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ToolMaker is Turn GitHub repositories into LLM tools. (ACL 2025). It is categorized as a Agent Tool with 82 GitHub stars.
ToolMaker is primarily written in Python. It covers topics such as agents, function-calling, llm-agents.
You can find installation instructions and usage details in the ToolMaker GitHub repository at github.com/KatherLab/ToolMaker. The project has 82 stars and 16 forks, indicating an active community.
The top alternatives to ToolMaker on Agent Skills Hub include mcp-sse, avatar, ToolBrain. 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.
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