#
ENJA

observer_ward

emo-crab/observer_ward

Observer Ward is a high-performance web application and service fingerprinting tool written in Rust, leveraging community-driven fingerprint databases.

199 14GPL-3.0Updated 2026-08-09

Overview

Observer Ward is a robust reconnaissance utility designed to identify web applications, services, and version information using CPE naming conventions and YAML-based matching rules. Built in Rust for speed and efficiency, it supports community fingerprint databases and integrates directly with Nuclei for vulnerability validation. Additionally, it offers features like an embedded MCP server, API server, and task queue capabilities for automation.

Capabilities

  • Web application and service fingerprinting
  • CPE naming standard version identification
  • Nuclei vulnerability scan integration
  • Customizable YAML probe parsing
  • Multiple output formats (JSON, CSV, TXT)
  • Built-in MCP server support
  • API server and proxy modes

Best for

Identifying web application technologies and services on target URLs, Discovering software versions using CPE naming conventions, Integrating vulnerability scanning workflows via Nuclei integration, Automating reconnaissance tasks through API and webhook integrations

Works with

Claude CodeCursor
Evoa Score breakdown= Σ (score × weight)
70
Task 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%90 → +13.5

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%31 → +3.7

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%85 → +8.5

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%59 → +4.7

コミュニティの採用度。 GitHub Stars/Forks(対数スケール)

Compatibility5%50 → +2.5

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 total70.2 / 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, vulnerability assessment, and educational purposes. Unauthorized scanning of targets may violate laws.

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.