#
ENJA

ddos_attack_script_demo

XiaomingX/ddos_attack_script_demo

This skill provides a multi-protocol simulation toolkit for conducting security stress tests against network infrastructure and applications.

29 6MITUpdated 2026-06-29

Overview

Designed for security professionals and system administrators, this skill leverages Model Context Protocol (MCP) servers to execute 13 different layer 4 and layer 7 attack simulations—ranging from HTTP floods to TCP and TLS exhaustion techniques. It allows AI assistants to orchestrate authorized load testing, evaluate firewall and WAF resilience, and verify server defense mechanisms under heavy stress.

Capabilities

  • Execute Layer 4 transport layer attacks (TCP, UDP, ICMP, DNS, NTP, TCP connect floods)
  • Execute Layer 7 application layer attacks (HTTP GET/POST, slowloris, slowpost, TLS exhaustion)
  • Configure custom threads, durations, and target endpoints
  • List and explain available security test methods

Best for

Evaluating the resilience of WAFs, firewalls, and DDoS mitigation appliances., Stress testing web servers and application infrastructure for high-concurrency handling., Verifying network robustness against Layer 4 and Layer 7 denial-of-service simulations.

Works with

Claude CodeCodex
Evoa Score breakdown= Σ (score × weight)
57
Task usefulness20%77 → +15.4

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%75 → +11.3

実装・指示の品質。 AIによるSKILL.md/README解析

Maintenance15%85 → +12.8

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%29 → +3.5

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%60 → +6.0

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%41 → +3.3

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 total56.9 / 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 skill interfaces with potentially destructive testing capabilities. It must only be used within tightly controlled, authorized testing environments to prevent illegal disruption of service or violation of 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.