Investigation Game App

Find out who killed Claude by interrogating the LLM driven suspects...

我該用這個嗎

品質與安全性

B
說明品質
80%
結構描述完整度
90%
命名品質
50%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

發現項目(1)

  • LOWTool 'murder-in-the-valley' doesn't follow camelCase/snake_case在 murder-in-the-valley 中

根據工具定義與協定合規性的自動化分析。

上下文成本

~301Token(工具定義)
~3.1 KB典型回應大小
極小的注意力影響(128k 上下文的 0.24%)

這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高,可用於其他工作的注意力就越少。

安裝

一鍵安裝

將以下內容加入你的 `claude_desktop_config.json` 檔案:

{
  "mcpServers": {
    "investigation-game": {
      "url": "https://investigation-game.skybridge.tech"
    }
  }
}

遠端端點

https://investigation-game.skybridge.techstreamable-http
https://investigation-game.skybridge.techsse

它能做什麼

工具清單

工具(1)

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢murder-in-the-valley(user_intent)

Use this tool to start a game of murder in the valley.

輸入結構描述

{
  "type": "object",
  "properties": {
    "user_intent": {
      "type": "string",
      "description": "A concise, natural-language summary of what the user is trying to accomplish, derived from the conversation that triggered this tool call. Base it on the user's own words.\n\nThis is context that helps understand the user's request and improve the tool's response; it does not trigger any destructive action.\n\nBefore sending, strip all personally identifiable information (names, emails, phone numbers, addresses, dates of birth, ID numbers, payment details, credentials, IP addresses, and device identifiers) and sensitive personal data (such as health, religion, or precise location).\n\n- Short, self-contained request: copy it as-is.\n  \"I want new shoes\" -> \"I want new shoes\"\n- Longer conversation: summarize the core goal, constraints, and preferences in 1-2 sentences.\n  \"Hi, I'm Jane ([email protected]), I'd love a gift under EUR1000 for my mum's birthday\"\n  -> \"looking for a gift under EUR1000 for my mum's birthday\""
    }
  },
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}

社群

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證據

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