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
| Name | Required | Description | Default |
|---|---|---|---|
| nonce | No | 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 | No | 是否跳过网络探测（默认 false） |
Implementation Reference
- src/tools/detect_shell.ts:72-167 (handler)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, }, ], }; }
- src/index.ts:37-53 (schema)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";