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 Astrosp · Agent Tool · ★ 4.5k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Awesome-OSINT-List safe to install? View the security audit →
Awesome OSINT For Everything A list of osint tools/websites for pentration testing, Reverse Searching, Red team Oprations, information gathering, bugbounty and almost cover everything in single file. Productivity File Upload Toolset Index AI ⁕ Breaches & Leaks ⁕ Basic OSINT ⁕ Recon ⁕ Productivity ⁕ OSINT Challenge ⁕ File Upload ⁕ Toolset ⁕ Search Engines ⁕ Whois ⁕ Source Codes ⁕ Domain / IP / DNS ⁕ Malware ⁕ Dataset ⁕ Geo ⁕ IoT ⁕ Darknet ⁕ Cryptocurrency ⁕ Username ⁕ Email ⁕ Phone ⁕ Whatsapp ⁕ Social Media ⁕ Facebook ⁕ Twitter ⁕ Youtube ⁕ Instagram ⁕ Reddit ⁕ [Link
| Stars | 4,515 |
| Forks | 631 |
| Language | Shell |
| Category | Agent Tool |
| License | GPL-3.0 |
| Quality Score | 56.0955605029667/100 |
| Open Issues | 14 |
| Last Updated | 2026-10-10 |
| Created | 2022-09-16 |
| Platforms | cli |
| Est. Tokens | ~23k |
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Awesome-OSINT-List is 📡 Comprehensive collection of OSINT tools for cybersecurity professionals, researchers, and bug bounty hunters. Topics: information gathering, reverse search, red team, trust & safety, AI.. It is categorized as a Agent Tool with 4.5k GitHub stars.
Awesome-OSINT-List is primarily written in Shell. It covers topics such as ai, ai-tools, awesome-list.
You can find installation instructions and usage details in the Awesome-OSINT-List GitHub repository at github.com/Astrosp/Awesome-OSINT-List. The project has 4.5k stars and 631 forks, indicating an active community.
Awesome-OSINT-List is released under the GPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to Awesome-OSINT-List on Agent Skills Hub include CyberStrike, pentest-ai-agents, world-intel-mcp. 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: