Add Rain V0 for MeInput full-range chat analysis and delivery tooling.

Introduce rain-service orchestration, browser-safe chat skill filtering, MeInput
adapter helpers, and verify/deploy scripts so Rain mode can summarize recent input
without Memory V2 pollution.

Co-authored-by: Cursor <cursoragent@cursor.com>

rain-service/llm-analysis.mjs

@@ -0,0 +1,118 @@
+function stripRainSkillPrefix(text) {
+  let next = String(text ?? '').trim();
+  next = next.replace(/^【Rain[^】]*】\s*/u, '');
+  next = next.replace(/^请使用\s+rain\s+技能[:：]\s*/iu, '');
+  if (/^请描述要分析的时间区间/u.test(next)) {
+    const marker = '我的问题是：';
+    const idx = next.indexOf(marker);
+    if (idx >= 0) next = next.slice(idx + marker.length);
+  }
+  return next.trim();
+}
+
+function parseRainLlmJson(raw) {
+  const text = String(raw ?? '').trim();
+  const fenced = text.match(/```(?:json)?\s*([\s\S]*?)```/i);
+  const candidate = fenced?.[1]?.trim() || text;
+  try {
+    return JSON.parse(candidate);
+  } catch {
+    return null;
+  }
+}
+
+/**
+ * @param {{ llmProviderService: object, userQuery: string, meinputBlock: string, timeRangeLabel: string, recordCount: number }} input
+ */
+export async function runRainLlmAnalysis(input) {
+  const userQuery = stripRainSkillPrefix(input.userQuery);
+  const system = [
+    '你是 TKMind Rain 分析层。只能依据【MeInput 原始输入】块中的内容做归纳，禁止引用或编造长期记忆、聊天历史、日程等外部信息。',
+    '输出必须是单个 JSON 对象，不要 markdown，不要代码围栏，字段如下：',
+    '{"needs_clarification":boolean,"clarification_question":string|null,"user_goal":string,"meinput_analysis":string,"suggested_next_steps":string[],"user_reply":string}',
+    '- needs_clarification=true 时：clarification_question 必填，user_reply 用自然语言向用户追问；meinput_analysis 可为空。',
+    '- needs_clarification=false 时：meinput_analysis 按时间线归纳用户在各 App 的输入活动；user_reply 是可直接展示给用户的中文回复（含区间说明）；suggested_next_steps 供下游 Agent 参考（如生成报告页、继续追问）。',
+    '- 不要把内部排序分数、source 字段名暴露给用户。',
+  ].join('\n');
+
+  const user = [
+    `时间区间：${input.timeRangeLabel}`,
+    `记录条数：${input.recordCount}`,
+    '',
+    input.meinputBlock,
+    '',
+    `用户诉求：${userQuery || '请总结我在上述区间的输入活动'}`,
+  ].join('\n');
+
+  const completion = await input.llmProviderService.createChatCompletion({
+    messages: [
+      { role: 'system', content: system },
+      { role: 'user', content: user },
+    ],
+  });
+
+  if (!completion?.ok) {
+    const err = new Error(completion?.message ?? 'Rain LLM 分析失败');
+    err.code = 'RAIN_LLM_FAILED';
+    throw err;
+  }
+
+  const parsed = parseRainLlmJson(completion.reply);
+  if (!parsed || typeof parsed !== 'object') {
+    return {
+      needs_clarification: false,
+      clarification_question: null,
+      user_goal: userQuery || '回顾 MeInput 输入',
+      meinput_analysis: String(completion.reply ?? '').trim(),
+      suggested_next_steps: [],
+      user_reply: String(completion.reply ?? '').trim(),
+      raw: completion.reply,
+    };
+  }
+
+  return {
+    needs_clarification: Boolean(parsed.needs_clarification),
+    clarification_question: parsed.clarification_question ?? null,
+    user_goal: String(parsed.user_goal ?? userQuery ?? '').trim(),
+    meinput_analysis: String(parsed.meinput_analysis ?? '').trim(),
+    suggested_next_steps: Array.isArray(parsed.suggested_next_steps)
+      ? parsed.suggested_next_steps.map((s) => String(s).trim()).filter(Boolean)
+      : [],
+    user_reply: String(parsed.user_reply ?? '').trim(),
+    raw: completion.reply,
+  };
+}
+
+export function buildRainGooseHandoffText({
+  userQuery,
+  timeRangeLabel,
+  recordCount,
+  analysis,
+  userGoal,
+  suggestedNextSteps = [],
+}) {
+  const steps =
+    suggestedNextSteps.length > 0
+      ? suggestedNextSteps.map((s) => `- ${s}`).join('\n')
+      : '- （无明确工具动作，先给用户文字总结）';
+
+  return [
+    '[Rain · MeInput 分析简报]',
+    '以下简报由 Rain 分析层基于 MeInput 全量原始输入生成。请据此决定如何回复用户、是否调用工具或 skill；不要重复询问时间区间。',
+    '',
+    `时间区间：${timeRangeLabel}`,
+    `原始记录条数：${recordCount}`,
+    `用户诉求：${userGoal || stripRainSkillPrefix(userQuery)}`,
+    '',
+    '【分析归纳】',
+    analysis || '（无）',
+    '',
+    '【建议下一步】',
+    steps,
+    '',
+    '【用户原始问题】',
+    stripRainSkillPrefix(userQuery),
+  ].join('\n');
+}
+
+export { stripRainSkillPrefix };