Magi security
MAGI System — Inspired by Evangelion's MAGI supercomputer. Three AI engines (Claude, Gemini, Codex) analyze tasks in parallel, then reach consensus through voting. A Claude Code skills plugin.
npx -y skills add weiting-tw/MAGI-System --skill magi-securityAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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What its author says it does
Copied from the file, not written here
三機(Claude/Gemini/Codex)平行安全審查，掃描OWASP漏洞、威脅建模後投票(CASPER有VETO權)
SKILL.md
1.9 KB, 764 tokens by cl100k_base, as published. Nobody here has run it
MAGI Security 快捷指令
/magi-security [scope]- 安全漏洞掃描
此指令為 /magi security [scope] 的快捷方式。
使用方式
/magi-security 支付流程模組
/magi-security src/api/
執行內容
自動啟動 MAGI 三機平行分析（深度安全模式）：
| 機體 | 引擎 | 分析重點 |
|---|---|---|
| MELCHIOR-1 | Claude Opus | 安全架構評估、威脅面分析 |
| BALTHASAR-2 | Gemini Pro | 安全編碼實踐、輸入驗證完整性 |
| CASPER-3 | Codex/GPT (Max) | 完整威脅建模、滲透測試建議、CVE 掃描 |
⚠️ 特別注意
此任務類型下，CASPER-3 的 VETO 權重更高。任何 CRITICAL 或 HIGH 安全問題都會觸發深度審查。
🚨 強制執行規則
<MANDATORY> 執行此指令時，必須嚴格遵守以下規則：禁止事項：
- ❌ 禁止委派給其他 agent 處理
- ❌ 禁止使用非指定的工具
必須使用：
- ✅ MELCHIOR-1:
Tasktool withsubagent_type="general-purpose",model="opus" - ✅ BALTHASAR-2:
mcp__gemini__ask-gemini(先用 ToolSearch 載入) - ✅ CASPER-3:
mcp__codex-cli__ask-codex(先用 ToolSearch 載入)
執行步驟：
- 先以單一 ToolSearch 載入 MCP 工具：
ToolSearch(query="select:mcp__gemini__ask-gemini,mcp__codex-cli__ask-codex") - 在單一訊息中同時發出三個 tool calls（Task + Gemini + Codex）
- 等待三機回應後彙整共識報告 </MANDATORY>
模型設定（security 任務）
| 機體 | 模型 | 參數 |
|---|---|---|
| MELCHIOR-1 | opus | - |
| BALTHASAR-2 | gemini-3-pro-preview | - |
| CASPER-3 | gpt-5.1-codex-max | reasoningEffort: "xhigh" |
完整的投票機制與共識報告格式，見主 skill magi（skills/SKILL.md）。
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.