mitan
kkbo8005/mitan
Mitan v2.0 is a comprehensive, project-based cybersecurity reconnaissance and penetration testing platform built with Rust and Tauri. It integrates over 50 capabilities including asset mapping, threat intelligence, vulnerability scanning, cloud security, and MCP server support for AI agents.
1.8k 124No licenseUpdated 2026-08-14
63
GoodOverview
Mitan v2.0 is designed as an all-in-one network security detection and operations tool that helps security teams map assets, uncover risks, and execute automated penetration testing. It features advanced project-level data management, multi-engine aggregated mapping, resumable long-running scans, heapdump sensitive data analysis, mini-program decompilation, and a robust Model Context Protocol (MCP) server integration to empower AI agents with 39 dedicated security testing tools.
Capabilities
- ▸Project-level reconnaissance and data management
- ▸Multi-engine aggregated asset mapping and syntax translation
- ▸Fuzzing, directory scanning, and subdomain enumeration with resume support
- ▸Java heapdump analysis for sensitive tokens and credentials
- ▸Mini-program decompilation and unauthorized API scanning
- ▸Model Context Protocol (MCP) server providing 39 tools for AI agents
- ▸Cloud security assessment and third-party platform credential utilization
Best for
Conducting asset mapping and reconnaissance using multiple search engines (Fofa, Hunter, Quake, Shodan, etc.) with automated syntax conversion., Performing vulnerability scanning, directory fuzzing, subdomain brute-forcing, and credential cracking with resumable task capabilities., Analyzing Java heapdump files for hardcoded secrets, database strings, and tokens., Decompiling mini-programs to extract APIs and scan for unauthorized access vulnerabilities., Integrating with AI client agents via MCP to execute natural language security queries and automated testing workflows.
Works with
Cursor
Evoa Score breakdown= Σ (score × weight)
63Task usefulness20%100 → +20.0
実タスクにどれだけ役立つか（機能の豊富さ・用途の明確さ）。 — AIによるcapabilities/use-cases解析
Code quality15%85 → +12.8
実装・指示の品質。 — AIによるSKILL.md/README解析
Maintenance15%100 → +15.0
リポジトリがどれだけ活発に保守されているか。 — GitHub 最終push日時の新しさ
Documentation12%66 → +7.9
ドキュメントの充実度・分かりやすさ。 — README/独自要約の情報量
Security15%15 → +2.3
危険・不審な挙動が無いか。 — AIによるセキュリティレビュー
Originality10%80 → +8.0
ありふれたラッパーではない独自性。 — AIによる独自性判定
Popularity8%83 → +6.6
コミュニティの採用度。 — GitHub Stars/Forks（対数スケール）
Compatibility5%25 → +1.3
対応AIエージェントの広さ。 — AIによる対応エージェント判定
Weighted total73.8 / 100
ライセンス不明/制限あり（Red）のSkillは総合スコアに0.85倍の補正を適用します。 ランキングはこのScoreのみで決まり、広告で変わりません。 算出方法の詳細 →
Security considerations
This tool is intended strictly for authorized security auditing and penetration testing. Unauthorized scanning or exploitation of target systems is illegal and violates the tool's terms of service.
Categories
Summary and analysis are original content generated by AI Skills Rank. The skill's source text is not reproduced here — view it on the linked repository.