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 Aider-AI · Agent Tool · ★ 49.0k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is aider safe to install? View the security audit →
AI Pair Programming in Your Terminal Aider lets you pair program with LLMs to start a new project or build on your existing codebase. <img alt="OpenRouter Ranking" title="Aider's ranking among applications on the OpenRouter platform" src="https://img.shields.io/badge/🏆%20OpenRouter-Top%2020-9b59b6?style=flat-square&labelColor=555
| Stars | 49,036 |
| Forks | 4,972 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 57.879943075096/100 |
| Open Issues | 1876 |
| Last Updated | 2026-05-22 |
| Created | 2023-05-09 |
| Platforms | claude-code, cli, gemini, python |
| Est. Tokens | ~9098k |
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aider is aider is AI pair programming in your terminal. It is categorized as a Agent Tool with 49.0k GitHub stars.
aider is primarily written in Python. It covers topics such as anthropic, chatgpt, claude-3.
You can find installation instructions and usage details in the aider GitHub repository at github.com/Aider-AI/aider. The project has 49.0k stars and 4972 forks, indicating an active community.
aider is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to aider on Agent Skills Hub include repomix, langchain4j, LibreChat. 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: