Astra v2.2.41: /benchmark LLM 4-lens synthesis + Datacollect settings

- /benchmark now runs the full scan -> LLM 3-stage 4-lens synthesis ->
  markdown report pipeline, matching the Datacollect web app output
- Add settings: datacollectSynthesisTemperature (0.1), datacollectCrawlDepth,
  datacollectMaxPages, datacollectSavePath; new "Datacollect" Settings section
- Fix slash result not rendering (missing streamStart) and /benchmark URL
  parsing when natural language is appended
- Rename view container/view ids to g1nation-* to avoid conflict with the
  Antigravity built-in "Connect AI" extension
- Version bump 2.2.34 -> 2.2.41

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

package.json

@@ -2,7 +2,7 @@
   "name": "astra",
   "displayName": "Astra",
   "description": "The personal intelligence layer for Antigravity and VS Code. A private cognitive partner for deep project context, memory, and proactive strategic decision-making.",
-  "version": "2.2.34",
+  "version": "2.2.41",
   "publisher": "g1nation",
   "license": "MIT",
   "icon": "assets/icon.png",
@@ -171,23 +171,23 @@
     "viewsContainers": {
       "activitybar": [
         {
-          "id": "astra-activity",
-          "title": "Astra",
+          "id": "g1nation-astra-activity",
+          "title": "Astra (g1nation)",
           "icon": "assets/icon-activitybar.svg"
         }
       ]
     },
     "views": {
-      "astra-activity": [
+      "g1nation-astra-activity": [
         {
-          "id": "astra-launcher",
-          "name": "Astra Launcher"
+          "id": "g1nation-astra-launcher",
+          "name": "Astra (g1nation) Launcher"
         }
       ]
     },
     "viewsWelcome": [
       {
-        "view": "astra-launcher",
+        "view": "g1nation-astra-launcher",
         "contents": "✦ **Astra** — 로컬 AI 인텔리전스 레이어\n\nChat 탭을 닫았을 때 여기서 다시 열 수 있습니다.\n\n[$(comment-discussion) Open Chat](command:g1nation.openChat)\n[$(add) New Chat](command:g1nation.newChat)\n[$(gear) Settings](command:g1nation.settings.focus)\n\n---\n\n**1인 기업 모드**\n\n[$(organization) Manage Agents](command:g1nation.company.manage)\n[$(folder-opened) Open Sessions Folder](command:g1nation.company.openSessions)\n\n---\n\n**Project Architecture**\n\n[$(file-text) Open Architecture Doc](command:g1nation.architecture.open)\n[$(refresh) Refresh Architecture](command:g1nation.architecture.refresh)\n\n---\n\n**Lessons / Knowledge**\n\n[$(lightbulb) Manage Lessons](command:g1nation.lesson.manage)\n[$(edit) Edit Agent ↔ Knowledge Map](command:g1nation.skills.editKnowledgeMap)"
       }
     ],
@@ -204,6 +204,32 @@
           "default": "http://127.0.0.1:3002",
           "description": "Wiki/Datacollect MCP Bridge URL. /research, /benchmark, /youtube chat slash commands route here. The Bridge must be running (`npm run bridge` in the Datacollect project)."
         },
+        "g1nation.datacollectSavePath": {
+          "type": "string",
+          "default": "",
+          "markdownDescription": "`/benchmark` 등 Datacollect slash 명령 결과물(markdown)을 저장할 폴더. **비워두면** Bridge 기본 위치(Bridge의 `WIKI_RAW_PATH` 환경변수)에 저장됩니다 — 코드/설정 어디에도 절대경로가 박히지 않습니다. 특정 폴더로 저장하려면 절대경로를 입력하세요. Astra Settings 패널의 'Datacollect' 섹션에서도 편집 가능."
+        },
+        "g1nation.datacollectCrawlDepth": {
+          "type": "number",
+          "default": 1,
+          "minimum": 0,
+          "maximum": 3,
+          "markdownDescription": "`/benchmark` 사이트맵 크롤 깊이 기본값. 0=루트만, 1=직속 자식, 2=손자, 3=깊은 크롤. 명령어에서 `depth=N`으로 그때그때 덮어쓸 수 있습니다. (단일 페이지 SPA는 깊이를 올려도 1페이지)"
+        },
+        "g1nation.datacollectMaxPages": {
+          "type": "number",
+          "default": 8,
+          "minimum": 1,
+          "maximum": 20,
+          "markdownDescription": "`/benchmark` 스캔 최대 페이지 수 기본값. 명령어에서 `pages=N`으로 덮어쓸 수 있습니다. Bridge에서 20으로 상한이 적용됩니다."
+        },
+        "g1nation.datacollectSynthesisTemperature": {
+          "type": "number",
+          "default": 0.1,
+          "minimum": 0,
+          "maximum": 2,
+          "markdownDescription": "`/benchmark` LLM 4-렌즈 합성의 temperature. 낮을수록(0.1) 환각·깨진 문자가 줄고 결과가 결정적이며, 높을수록 표현이 다양해집니다. 기본 0.1 권장."
+        },
         "g1nation.memoryEnabled": {
           "type": "boolean",
           "default": true,