AGIAgent — security grade SAFE, quality 54/100

Security audit verdict: SAFE · quality 54/100

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 agi-hub · Codex Skill · ★ 265

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is AGIAgent safe to install? View the security audit →

About AGIAgent

AGI Agent <img src="https://img.shields.io/badge/微信公众号-AGI智创机器人-07C160?style=for-the-badge&logo=wechat&logoCol

agentagentic-aiagentic-codingclaudecursordeepresearchmanusopenclawvibe-coding

Quick Facts

Stars265
Forks27
LanguagePython
CategoryCodex Skill
Quality Score53.5257539922078/100
Open Issues4
Last Updated2026-08-25
Created2025-06-17
Platformsclaude-code, python
Est. Tokens~18k

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Frequently Asked Questions

What is AGIAgent?

AGIAgent is An open-source Vibe platform similar to Claude Cowork / Manus / Openclaw, with professional rich image document generation.. It is categorized as a Codex Skill with 265 GitHub stars.

What programming language is AGIAgent written in?

AGIAgent is primarily written in Python. It covers topics such as agent, agentic-ai, agentic-coding.

How do I install or use AGIAgent?

You can find installation instructions and usage details in the AGIAgent GitHub repository at github.com/agi-hub/AGIAgent. The project has 265 stars and 27 forks, indicating an active community.

What are the best alternatives to AGIAgent?

The top alternatives to AGIAgent on Agent Skills Hub include Mysti, agentsys, argo. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

View on GitHub → Browse Codex Skill tools