OpenOSINT
Streamlines intelligence gathering and reconnaissance at scale with AI augmentation, reducing manual research time while maintaining audit trails for complia…
AI-powered OSINT agent with interactive REPL, MCP server, and CLI. 20 tools. Works with Claude, GPT-4, or local models. For authorized security research only.
- Ask Claude to investigate a domain's IP history and registration details for threat assessment.
- Generate a report on public mentions of your organization across web archives and social media.
- Find potential security risks by searching leaked databases and breach information sources.
Streamlines intelligence gathering and reconnaissance at scale with AI augmentation, reducing manual research time while maintaining audit trails for compliance-sensitive security investigations.
Security teams and authorized researchers performing threat intelligence, due diligence, and vulnerability assessment workflows.
https://github.com/OpenOSINT/OpenOSINT
By OpenOSINT
How to Get It
claude plugins install OpenOSINT/OpenOSINT
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Investigate a domain's IP history and registration details for threat assessment
Trust Signals Auto-scanned
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 1,668 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 1,668 GitHub stars; contributors unknown; last commit 0d ago; license MIT.