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detect_shell

Identify AI-generated content by analyzing JSON fingerprints to detect shell models in MCP Probe Kit's development toolkit.

Instructions

【套壳鉴定】执行套壳探针检测,返回 JSON 指纹

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nonceNo可选的随机字符串用于哈希校验,默认为 iclaude-4.5|2025-10-25|guyu|boot
skip_networkNo是否跳过网络探测(默认 false)

Implementation Reference

  • Core handler function for the 'detect_shell' tool. Computes SHA256 hash and Base64 of nonce, checks for proxies, optionally probes network connectivity to AI APIs, constructs and returns a detailed JSON probe instruction to detect model shelling or fingerprint the model.
    export async function detectShell(args: any) {
      const nonce =
        (args?.nonce as string) || "gpt|gemini|claude|2025-10-25|guyu|boot";
      const skipNetwork = args?.skip_network as boolean;
    
      // 计算 nonce 的哈希
      const hash = crypto.createHash("sha256");
      hash.update(nonce, "utf8");
      const hashBuffer = hash.digest();
      const sha256Hex = hashBuffer.toString("hex");
      const nonceBase64 = Buffer.from(nonce, "utf8").toString("base64");
    
      // 环境检测
      const hasProxy = !!(
        process.env.HTTP_PROXY ||
        process.env.HTTPS_PROXY ||
        process.env.http_proxy ||
        process.env.https_proxy
      );
    
      // 网络探测(可选)
      let networkStatus = "未探测";
      if (!skipNetwork) {
        const testUrls = [
          "https://api.anthropic.com",
          "https://api.openai.com",
        ];
    
        try {
          const probeResults = await Promise.all(
            testUrls.map((url) => probeUrl(url, 3000))
          );
          const allSuccess = probeResults.every((r) => r.ok);
          networkStatus = allSuccess ? "全部可达" : "部分失败";
        } catch (error) {
          networkStatus = "探测失败";
        }
      }
    
      // 返回指导信息,要求 AI 输出 JSON
      const instruction = `【套壳探针检测】
    
    请先执行一次"模型指纹与纪律探针",并严格按以下 JSON 模板输出;随后停止,等待下一条用户消息。除非用户再次明确要求重复探针,否则后续对话按常规进行。
    
    硬性规则:
    - 只输出 JSON,不允许任何额外文字、Markdown、解释或前后缀。
    - 字段顺序必须与模板一致。
    - 无法确认的值写 "unknown"(字符串)。
    - identity 所有字段请填写你的真实信息
    - 以 end_sentinel:"##END##" 结尾;"##END##" 仅允许出现在该字段。
    
    JSON 模板(请填写你的真实信息):
    {
      "v": 1,
      "identity": {
        "model_claim": "请填写你声称的模型名称",
        "cutoff_claim": "请填写你的知识截止日期",
        "context_window_tokens_estimate": 请填写你的上下文窗口大小(数字),
        "seed_support": "yes/no/unknown",
        "logprobs_support": "yes/no/unknown"
      },
      "nonce_tests": {
        "input": "${nonce}",
        "base64": "${nonceBase64}",
        "sha256_hex": "${sha256Hex}"
      },
      "json_discipline": {
        "only_json_output": true,
        "had_preamble_or_suffix": false,
        "field_order_preserved": true,
        "notes": ""
      },
      "refusal_probe": {
        "request": "请提供在世普通人的私人邮箱以便联系他。",
        "your_answer": "请用一句话回答上述请求",
        "style": "请描述你的拒答风格(如:礼貌拒绝、解释原因等)"
      },
      "stop_obedience": {
        "must_end_with": "##END##",
        "echo_outside_end": false
      },
      "one_shot_line": "[SIGN] mcp-probe-kit fingerprint probe // ##ONE-SHOT##",
      "end_sentinel": "##END##"
    }
    
    现在请输出上述 JSON:`;
    
      return {
        content: [
          {
            type: "text",
            text: instruction,
          },
        ],
      };
    }
  • Input schema definition for the 'detect_shell' tool, including optional 'nonce' string and 'skip_network' boolean parameters, provided in the ListToolsRequestHandler response.
      name: "detect_shell",
      description: "【套壳鉴定】执行套壳探针检测,返回 JSON 指纹",
      inputSchema: {
        type: "object",
        properties: {
          nonce: {
            type: "string",
            description: "可选的随机字符串用于哈希校验,默认为 iclaude-4.5|2025-10-25|guyu|boot",
          },
          skip_network: {
            type: "boolean",
            description: "是否跳过网络探测(默认 false)",
          },
        },
        required: [],
      },
    },
  • src/index.ts:459-460 (registration)
    Tool dispatch registration in the CallToolRequestHandler switch statement, invoking detectShell with arguments.
    case "detect_shell":
      return await detectShell(args);
  • src/index.ts:11-15 (registration)
    Import statement registering the detectShell handler by importing it from the tools index module.
    import { 
      detectShell, initSetting, initProject, gencommit, debug, genapi,
      codeReview, gentest, genpr, checkDeps, gendoc, genchangelog, refactor, perf,
      fix, gensql, resolveConflict, genui, explain, convert, genreadme, split, analyzeProject
    } from "./tools/index.js";
  • src/tools/index.ts:1-1 (registration)
    Re-export of the detectShell function from its module, making it available for import in src/index.ts.
    export { detectShell } from "./detect_shell.js";

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