god-eye — repository deleted, archived audit

Q: What is god-eye?

god-eye is AI-powered subdomain enumeration tool with local LLM analysis via Ollama - 100% private, zero API costs. It is categorized as a Agent Tool with 511 GitHub stars.

Q: What programming language is god-eye written in?

god-eye is primarily written in Go. It covers topics such as ai-security, bug-bounty, cve.

Q: How do I install or use god-eye?

You can find installation instructions and usage details in the god-eye GitHub repository at github.com/Vyntral/god-eye. The project has 511 stars and 69 forks, indicating an active community.

Q: What are the best alternatives to god-eye?

The top alternatives to god-eye on Agent Skills Hub include pentest-ai, ai_osint, pentest-ai-agents. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

Repository no longer available — Vyntral/god-eye returns 404 on GitHub. It was deleted, or its owner's account was removed. The data below is our last successful snapshot.

by Vyntral · Agent Tool · ★ 511

Last updated: 2026-07-02 · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is god-eye safe to install? View the security audit →

About god-eye

God's Eye AI-powered attack-surface discovery & offensive securityin a single Go binary. Terminal-only. Zero cloud. Zero-flag launch → AI tier → model check → target → profile → live scan. Recorded live against scanme.nmap.org. <img src="https://img.shields.io/badge/tests-185%20race--safe

ai-security bug-bounty cve cybersecurity ethical-hacking golang hacking infosec osint pentesting

Quick Facts

Stars	511
Forks	69
Language	Go
Category	Agent Tool
Quality Score	64.3395176767527/100
Last Updated	2026-07-02
Created	2025-11-19
Platforms	go
Est. Tokens	~22k

Compatible Skills

These tools work well together with god-eye for enhanced workflows:

aguara — semantic(0.17)+complementary+rare_topics+same_lang+similar_pop+shared_platform (55%)
reconmap — semantic(0.29)+rare_topics+same_lang+similar_pop+shared_platform (55%)
mcp-shodan — semantic(0.23)+complementary+rare_topics+similar_pop (53%)
mcp-security-hub — semantic(0.22)+complementary+rare_topics+similar_pop (53%)
ai4eh — semantic(0.35)+complementary+rare_topics+similar_pop (51%)

god-eye alternative? Top 6 similar tools

Looking for a god-eye alternative? If you're comparing god-eye with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

pentest-ai by 0xSteph · ⭐ 1.7k
Open-source AI pentester that proves every finding. Machine oracles re-run each exploit; verified bugs ship a
ai_osint by 7WaySecurity · ⭐ 153
🤖 Curated AI OSINT resources — Google dorks, Shodan queries, GitHub dorks, and techniques to discover exposed
pentest-ai-agents by 0xSteph · ⭐ 2.1k
Turn Claude Code into your offensive security research assistant. Specialized AI subagents for authorized pene
CyberStrike by CyberStrikeus · ⭐ 1.9k
Open-source AI-augmented offensive security harness. 13+ autonomous agents, 150+ LLM providers, 5,300+ models,
ARL-Next by owl234 · ⭐ 442
现代化资产测绘与漏洞监控平台 (ARL-Next)。经典 ARL 架构重构，聚焦企业资产关联、异步解耦并发调度与原生 MCP 协议集成，容器化开箱部署。
reconmap by reconmap · ⭐ 982
Reconmap is a collaboration-first security operations platform for infosec teams and MSSPs, enabling end‑to‑en

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Frequently Asked Questions

What is god-eye?

god-eye is AI-powered subdomain enumeration tool with local LLM analysis via Ollama - 100% private, zero API costs. It is categorized as a Agent Tool with 511 GitHub stars.

What programming language is god-eye written in?

god-eye is primarily written in Go. It covers topics such as ai-security, bug-bounty, cve.

How do I install or use god-eye?

You can find installation instructions and usage details in the god-eye GitHub repository at github.com/Vyntral/god-eye. The project has 511 stars and 69 forks, indicating an active community.

What are the best alternatives to god-eye?

The top alternatives to god-eye on Agent Skills Hub include pentest-ai, ai_osint, pentest-ai-agents. 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 Agent Tool tools