feat: MiniMax TTS集成、口播批量剪辑流水线、执黑先行二号账号

- 新增 minimax-tts.js 和 minimax-voice-clone.js 脚本
- 新增口播批量剪辑流水线 (口播_assemble.js, 口播_pipeline.js)
- 更新 video-from-script 各阶段脚本 (kling, images, tts, videos)
- 新增执黑先行二号-风格延伸账号
- 更新执黑先行 account.json 配置
- 替换 ugc_product_seeding 参考图
- 更新 CLAUDE.md 和依赖配置

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

.claude/skills/video-from-script/scripts/minimax-voice-clone.js

@@ -0,0 +1,172 @@
+#!/usr/bin/env node
+
+/**
+ * MiniMax 音色克隆
+ *
+ * 用法:
+ *   node minimax-voice-clone.js --file /path/to/audio.mp3 --voice-id my_voice_name
+ *
+ * 流程:
+ *   1. 上传音频文件 → 获取 file_id
+ *   2. 调用 voice_clone → 注册 voice_id
+ *   3. 输出 voice_id（写入 config.json 的 minimaxVoices）
+ *
+ * 选项:
+ *   --file <path>        待克隆的音频文件（MP3/WAV/M4A，≥10s）
+ *   --voice-id <name>    自定义音色 ID（字母数字下划线，如 "snape_mm"）
+ *   --name <name>        音色中文名（写入 config，默认同 voice-id）
+ *   --model <model>      模型（默认 speech-02-hd）
+ *   --save               自动写入 config.json 的 minimaxVoices
+ */
+
+const https = require('https')
+const fs = require('fs')
+const path = require('path')
+
+const CONFIG_PATH = path.join(__dirname, '..', '..', 'config.json')
+const BOUNDARY = `----FormBoundary${Date.now().toString(16)}`
+
+function loadConfig() {
+  if (!fs.existsSync(CONFIG_PATH)) throw new Error(`config.json 不存在: ${CONFIG_PATH}`)
+  return JSON.parse(fs.readFileSync(CONFIG_PATH, 'utf-8'))
+}
+
+function httpsRequest(options, body) {
+  return new Promise((resolve, reject) => {
+    const req = https.request(options, (res) => {
+      const chunks = []
+      res.on('data', c => chunks.push(c))
+      res.on('end', () => {
+        try {
+          resolve(JSON.parse(Buffer.concat(chunks).toString('utf-8')))
+        } catch (e) {
+          reject(new Error(`响应解析失败: ${e.message}`))
+        }
+      })
+    })
+    req.on('error', reject)
+    if (body) req.write(body)
+    req.end()
+  })
+}
+
+async function uploadFile(apiKey, filePath, baseUrl, purpose = 'voice_clone') {
+  const fileBuffer = fs.readFileSync(filePath)
+  const fileName = path.basename(filePath)
+
+  const bodyParts = [
+    `--${BOUNDARY}\r\nContent-Disposition: form-data; name="purpose"\r\n\r\n${purpose}`,
+    `--${BOUNDARY}\r\nContent-Disposition: form-data; name="file"; filename="${fileName}"\r\nContent-Type: application/octet-stream\r\n\r\n`,
+  ]
+
+  const body = Buffer.concat([
+    Buffer.from(bodyParts[0] + '\r\n'),
+    Buffer.from(bodyParts[1]),
+    fileBuffer,
+    Buffer.from(`\r\n--${BOUNDARY}--\r\n`),
+  ])
+
+  const url = new URL(`${baseUrl}/v1/files`)
+  const result = await httpsRequest({
+    hostname: url.hostname,
+    path: url.pathname,
+    method: 'POST',
+    headers: {
+      'Authorization': `Bearer ${apiKey}`,
+      'Content-Type': `multipart/form-data; boundary=${BOUNDARY}`,
+      'Content-Length': body.length,
+    },
+  }, body)
+
+  if (result.base_resp?.status_code !== 0) {
+    throw new Error(`上传失败 [${result.base_resp?.status_code}]: ${result.base_resp?.status_msg}`)
+  }
+
+  return result.file.file_id
+}
+
+async function cloneVoice(apiKey, fileId, voiceId, model, baseUrl) {
+  const body = JSON.stringify({
+    file_id: fileId,
+    voice_id: voiceId,
+    text: '这是一段用于验证音色克隆效果的测试文本，请仔细聆听音色特征。',
+    model,
+    need_noise_reduction: true,
+    need_volume_normalization: true,
+  })
+
+  const url = new URL(`${baseUrl}/v1/voice_clone`)
+  const result = await httpsRequest({
+    hostname: url.hostname,
+    path: url.pathname,
+    method: 'POST',
+    headers: {
+      'Authorization': `Bearer ${apiKey}`,
+      'Content-Type': 'application/json',
+      'Content-Length': Buffer.byteLength(body),
+    },
+  }, body)
+
+  if (result.base_resp?.status_code !== 0) {
+    throw new Error(`克隆失败 [${result.base_resp?.status_code}]: ${result.base_resp?.status_msg}`)
+  }
+
+  return result
+}
+
+function parseArgs(argv) {
+  const args = {}
+  for (let i = 0; i < argv.length; i++) {
+    if (argv[i].startsWith('--')) {
+      const key = argv[i].slice(2)
+      args[key] = argv[i + 1] && !argv[i + 1].startsWith('--') ? argv[++i] : true
+    }
+  }
+  return args
+}
+
+async function main() {
+  const args = parseArgs(process.argv.slice(2))
+
+  if (!args.file || !args['voice-id']) {
+    console.error('用法: node minimax-voice-clone.js --file <音频文件> --voice-id <自定义ID> [--name <中文名>] [--save]')
+    console.error('示例: node minimax-voice-clone.js --file snape.mp3 --voice-id snape_mm --name 斯内普MM --save')
+    process.exit(1)
+  }
+
+  const config = loadConfig()
+  const apiKey = config.minimaxApiKey
+  if (!apiKey) { console.error('config.json 中未配置 minimaxApiKey'); process.exit(1) }
+
+  const filePath = path.resolve(args.file)
+  if (!fs.existsSync(filePath)) { console.error(`文件不存在: ${filePath}`); process.exit(1) }
+
+  const voiceId = args['voice-id']
+  const voiceName = args.name || voiceId
+  const model = args.model || config.minimaxTtsModel || 'speech-2.8-hd'
+  const baseUrl = config.minimaxApiBase || 'https://api.yunwu.ai/minimax'
+
+  console.log(`\n[1/2] 上传音频文件: ${path.basename(filePath)}`)
+  const fileId = await uploadFile(apiKey, filePath, baseUrl)
+  console.log(`      file_id: ${fileId}`)
+
+  console.log(`[2/2] 克隆音色: ${voiceId} (模型: ${model})`)
+  await cloneVoice(apiKey, fileId, voiceId, model, baseUrl)
+  console.log(`      克隆成功！`)
+
+  console.log(`\n✅ voice_id: ${voiceId}`)
+
+  if (args.save) {
+    const voices = config.minimaxVoices || {}
+    voices[voiceName] = voiceId
+    config.minimaxVoices = voices
+    fs.writeFileSync(CONFIG_PATH, JSON.stringify(config, null, 2))
+    console.log(`   已写入 config.json: minimaxVoices["${voiceName}"] = "${voiceId}"`)
+  } else {
+    console.log(`\n   手动写入 config.json:`)
+    console.log(`   "minimaxVoices": { "${voiceName}": "${voiceId}" }`)
+    console.log(`\n   或运行时加 --save 参数自动写入`)
+  }
+}
+
+main().catch(err => { console.error('\n❌ 失败:', err.message); process.exit(1) })