chore: .astra 런타임 상태·chronicle 기록 동기화

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

.astra/project-context/architecture.md

@@ -3,15 +3,15 @@
 <!-- ASTRA:AUTO-START -->
 
 ## Snapshot
-- **Workspace**: `connectai` `v2.2.210` _(absolute path varies by environment; resolved from the active VS Code workspace)_
+- **Workspace**: `connectai` `v2.2.212` _(absolute path varies by environment; resolved from the active VS Code workspace)_
 - **Description**: The personal intelligence layer for Antigravity and VS Code. A private cognitive partner for deep project context, memory, and proactive strategic decision-making.
 - **Stack**: TypeScript, Node.js, VS Code Extension, LM Studio SDK, Test runner
-- **Stats**: 441 source files, ~71,522 lines across 5 top-level modules.
+- **Stats**: 469 source files, ~76,324 lines across 5 top-level modules.
 
 ## Last Refresh
-- **Time**: 2026-06-09T02:20:50.409Z
-- **Files newly analysed**: 3
-- **Files reused from cache**: 438
+- **Time**: 2026-06-11T04:29:35.678Z
+- **Files newly analysed**: 5
+- **Files reused from cache**: 464
 
 ## Directory Map
 ```mermaid
@@ -23,7 +23,7 @@ mindmap
       agent/
       lib/
       retrieval/
-      core/
+      intelligence/
     media/
     tests/
       helpers/
@@ -40,11 +40,11 @@ mindmap
 > Arrows: which top-level module imports from which.
 ```mermaid
 flowchart LR
-    src["src/<br/>280 files"]
+    src["src/<br/>298 files"]
     media["media/<br/>6 files"]
-    tests["tests/<br/>37 files"]
+    tests["tests/<br/>45 files"]
     core_py["core_py/<br/>6 files"]
-    docs["docs/<br/>112 files"]
+    docs["docs/<br/>114 files"]
     tests --> src
 ```
 
@@ -67,26 +67,26 @@ flowchart LR
 
 ## Modules
 
-### `src/` — 280 files, ~53,526 lines
+### `src/` — 298 files, ~56,880 lines
 
 **Sub-directories**
-- `src/features/` (103) — Astra Office — public API. 다음 세션에서 추가될 OfficeSnapshot presenter / schema 도 같은 entry 로 노출 예정. 현재 노출: full webview panel H
+- `src/features/` (105) — Astra Office — public API. 다음 세션에서 추가될 OfficeSnapshot presenter / schema 도 같은 entry 로 노출 예정. 현재 노출: full webview panel H
 - `src/sidebar/` (35) — Brain profile lifecycle 의 pure helpers — sidebarProvider 의 add/edit/delete 흐름에서 modal UI 와 config 쓰기를 제외한 데이터 변환 만 격리. 현
 - `src/agent/` (29) — Post-answer hook registry — 답변 완료 후 실행되는 부가 작업 모음. 새 hook 추가 = 1 객체 push. agent.ts 는 이 배열을 iterate 만 함. 현재 등록 순서 (v2.2.1
 - `src/lib/` (29) — Astra Mode Architecture Context Builder. 의도: 사용자가 Astra 자체의 mode 디자인 (Guard vs Multi-Agent 가 별도 모드여야 하는지) 을 묻는 메타 질문에 답할
 - `src/retrieval/` (18) — Actionability Scoring — 검색 결과를 "현재 작업 상태" 신호로 재가중. 기존 TF-IDF (단어 매칭) + recency (시간) 만으로는 "지금 이 사용자가 하고 있는 작업과 직접 연결 된 문서
+- `src/intelligence/` (16) — Confidence Engine — 답변 확신도 0~100 결정론적 산출. Self-Evolving OS 마스터 플랜 Phase 2 / Track 1-1. 신뢰 조건 T4 "확신이 없으면 사람에게 묻는다" 의 측정 
 - `src/core/` (15) — Astra Path Resolver (경로 해결기) Astra의 모든 데이터 파일(.astra 디렉토리)의 경로를 중앙에서 관리합니다. 확장 프로그램의 설치 경로(extensionUri) 기반으로 .astra 디렉토
 - `src/extension/` (9) — 9 files (.ts)
 - `src/memory/` (9) — Distillation Loop — stale Episodic Memory → Long-Term "episode-digest" 승급. 배경: Episodic Memory 가 무한히 누적되면 검색 노이즈. 30일+ 지
 - `src/docs/` (6) — Bug: Edited agent.ts Edited agent.ts Edited agent.ts Edited agent.ts Edited agent.ts ...
 - `src/integrations/` (6) — Per-chat conversation history for the Telegram bot. Why this exists: the previous bot was stateless — every inbound mess
 - `src/lmstudio/` (4) — 4 files (.ts)
-- `src/skills/` (4) — 4 files (.ts)
 
 **Key files**
 - `src/utils.ts` (472 lines)
-- `src/config.ts` (585 lines)
-- `src/agent.ts` (1503 lines)
+- `src/config.ts` (637 lines)
+- `src/agent.ts` (1514 lines)
 - `src/features/company/types.ts` (446 lines) — Type definitions for the 1인 기업 (One-Person Company) mode. The mode turns the user into a virtual CEO that dispatches work to a roster of specialist agents. Each turn produces a session directory conta
 - `src/core/services.ts` (176 lines)
 - `src/sidebarProvider.ts` (3180 lines)
@@ -98,17 +98,17 @@ flowchart LR
 - `src/skills/agentKnowledgeMap.ts` (374 lines)
 - `src/features/datacollect/slashRouter.ts` (201 lines)
 - `src/retrieval/types.ts` (66 lines) — Retrieval Types (검색 결과 통합 타입) 모든 검색 소스(Brain, Memory, Project, Episode)의 결과를 통합 인터페이스로 정의합니다.
+- `src/intelligence/requirementGraph.ts` (273 lines) — Requirement Graph — 업무 유형별 필수 요소 정의 + 감지 + 커버리지 검사. Self-Evolving Digital Employee OS 마스터 플랜(docs/SELFEVOLVINGOSMASTERPLAN.md) Phase 1 / Track 2-1. 신뢰 조건 T3 "품질이 일관적이다 — 필수 요소 누락 없음" 담당. 동작 2단계: 1. In
 - `src/memory/types.ts` (151 lines) — Memory Type Definitions (메모리 타입 정의) Astra의 5-Layer Cognitive Memory System의 모든 타입을 정의합니다. ① Short-Term ② Long-Term ③ Project ④ Procedural ⑤ Episodic
 - `src/retrieval/scoring.ts` (541 lines) — Scoring Engine — TF-IDF + Bilingual Tokenizer 단순 includes() 키워드 매칭을 넘어서, TF-IDF 가중치 기반의 문서 스코어링을 제공합니다. 한국어/영어 양국어 토크나이저를 포함합니다.
 - `src/features/stocks/types.ts` (53 lines) — Stocks 모듈 공유 타입. investresults/targetstocks.json 스키마를 그대로 받아서, ConnectAI 의 <workspace>/.astra/stocks.json 으로 옮긴 뒤 같은 필드명을 유지. 한글 필드명은 사용자의 도메인 데이터라 변경하지 않는다 — 마이그레이션 충돌 회피 + 사용자가 직접 JSON 편집할 때 frictio
 - `src/lib/contextBuilders/promptDetection.ts` (85 lines) — 사용자 prompt 의 의도 분류 류 detection helpers. 모두 stateless 정규식 매칭. 옛 코드는 agent.ts 의 private 메서드로 박혀 있었는데, system prompt 빌더 (buildJarvisProjectBriefContext 등) 가 이걸 의존하면서 god-file 안에서 서로 얽힘. 헬퍼만 먼저 떼면 의존 그래프가
 - `src/retrieval/lessonHelpers.ts` (325 lines) — Lesson / Experience Memory — pure helpers (no vscode dependency) "Lesson" = a markdown file in the active brain that captures a past mistake/risk and how to avoid repeating it. Identified by a lessons
+- `src/intelligence/confidenceEngine.ts` (165 lines) — Confidence Engine — 답변 확신도 0~100 결정론적 산출. Self-Evolving OS 마스터 플랜 Phase 2 / Track 1-1. 신뢰 조건 T4 "확신이 없으면 사람에게 묻는다" 의 측정 기반 — Escalation Engine 의 입력. 설계 원칙 (termValidator 와 동일): LLM 호출 없음. 검색 그라운딩 신호(턴
 - `src/retrieval/brainIndex.ts` (536 lines) — Brain Index — persistent, mtime-keyed tokenized cache of the Second Brain RAG 검색은 매 질의마다 브레인의 모든 .md 파일을 읽고 토크나이즈해서 TF-IDF 점수를 계산했습니다 — 파일 수가 많아지면 그게 병목입니다. 이 모듈은 <brainPath>/.astra/brain-index.json 에
 - `src/security.ts` (159 lines)
 - `src/features/secondBrainTrace.ts` (792 lines)
-- `src/features/providers/types.ts` (63 lines) — Cloud LLM provider routing — model id prefix → provider id 매핑. Prefix 규칙: openrouter:anthropic/claude-3.5-sonnet → { provider: 'openrouter', model: 'anthropic/claude-3.5-sonnet' } anthropic:claude-3-5
-- `src/integrations/telegram/telegramBot.ts` (270 lines)
-- `src/lib/contextBuilders/localProjectIntent.ts` (233 lines)
+- `src/intelligence/reflectionStore.ts` (162 lines) — Reflection Store — 업무 turn 회고 기록 + Failure Pattern 집계. Self-Evolving OS 마스터 플랜 Phase 1 / Track 2-4 (Reflection Engine v1) + Phase 3 / Track 3-6 (Failure Pattern DB v1 시드). 신뢰 조건 T5 "같은 실수를 반복하지 않는다" 의
 
 ### `media/` — 6 files, ~7,785 lines
 
@@ -120,7 +120,7 @@ flowchart LR
 - `media/settings-panel.js` (505 lines)
 - `media/settings-panel.css` (254 lines) — Stylesheet
 
-### `tests/` — 37 files, ~5,875 lines
+### `tests/` — 45 files, ~7,027 lines
 *Depends on*: `src/`
 
 **Sub-directories**
@@ -131,29 +131,29 @@ flowchart LR
 **Key files**
 - `tests/helpers/mockLLMClient.ts` (112 lines) — MockLLMClient — IAIService 의 Mock 구현체. 의도: 회사 모드 dispatcher / ChunkedWriter / ceoPlanner 등 LLM 을 호출하는 코드 경로를 CI 환경에서도 테스트 가능하게. 실제 Ollama / LM Studio 없이도 응답을 미리 정의하거나 동적으로 생성 가능. 사용 예: const ai = new 
 - `tests/agentEngine.test.ts` (413 lines) — AgentEngine Tests — Chunked Writer Architecture 예전 buildup(planner → researcher → reflector → writer → synthesizer)을 단일 ChunkedWriter 의 outline → section[N] → polish 로 교체한 뒤의 회귀 테스트. 다루는 범위: 1. ErrorC
-- `tests/lmStudioLifecycle.test.ts` (326 lines) — Unit tests for ModelLifecycleManager. Strategy: inject mock ILMStudioClient and a simple in-memory IActivityTracker. No real LM Studio or SDK is touched — the manager file does not import the SDK dire
+- `tests/lmStudioLifecycle.test.ts` (330 lines) — Unit tests for ModelLifecycleManager. Strategy: inject mock ILMStudioClient and a simple in-memory IActivityTracker. No real LM Studio or SDK is touched — the manager file does not import the SDK dire
 - `tests/localPathPreflight.test.ts` (520 lines)
 - `tests/telegramBot.test.ts` (363 lines) — Unit tests for TelegramBot + truncateForTelegram. Strategy: - TelegramBot is driven by an injected ITelegramClient stub. We script getUpdates to return queued batches and assert that: - the offset cur
+- `tests/criticReflectionEval.test.ts` (200 lines) — Critic Agent / Reflection Store / Task Eval Harness (Self-Evolving OS P1 잔여 + P3) 테스트.
 - `tests/lmStudioStreamer.test.ts` (222 lines) — Unit tests for LMStudioStreamer. Strategy: inject a fake ILMStudioClient that returns a fake model handle whose respond() yields a controllable async iterable. No real SDK or WebSocket touched.
 - `tests/secondBrainTrace.test.ts` (407 lines)
 - `tests/approvalQueue.test.ts` (164 lines) — Unit tests for ApprovalQueue. Strategy: drive enqueue → approve / reject / clear / pre-empt directly, confirm the onChange event fires at the right moments and callbacks fire exactly once.
+- `tests/confidenceEngine.test.ts` (175 lines) — Confidence Engine + Escalation Engine (Self-Evolving OS Phase 2) 단위 테스트. 순수 함수만 검증 — vscode 의존 없음.
+- `tests/knowledgeOps.test.ts` (174 lines) — Knowledge Validation / Belief Revision / Decay / Debt (Self-Evolving OS Phase 4 — 지식 운영) 테스트.
+- `tests/needEngineQueue.test.ts` (159 lines) — Gap Detector / Need Engine / Knowledge Inventory / Learning Queue (Self-Evolving OS Phase 3 — 성장 루프 코어) 테스트.
 - `tests/projectScaffolder.test.ts` (135 lines) — Unit tests for FileSystemProjectScaffolder. Drives against a real temp directory so end-to-end file IO + path-traversal defenses are exercised.
+- `tests/requirementGraph.test.ts` (126 lines) — Requirement Graph (Self-Evolving OS Phase 1 / Track 2-1) 단위 테스트. 순수 함수만 검증 — vscode 의존 없음.
+- `tests/researchSkill.test.ts` (122 lines) — Research Agent / Skill Score / Success Pattern DB (Self-Evolving OS Phase 6) 테스트.
 - `tests/resilience_stress.test.ts` (197 lines) — Resilience & Boundary Stress Test Suite (v2.77.3) 이 테스트는 ConnectAI 엔진이 극한의 환경(인증 실패, 네트워크 차단, 타임아웃 등)에서 얼마나 안정적으로 복구되고, 신뢰성 지표(Resilience Metrics)를 정확히 기록하는지 검증합니다.
 - `tests/skillInjectionService.test.ts` (172 lines) — Unit tests for FileSystemSkillInjectionService. Strategy: drive the service against a real temp directory so path-traversal defenses and writeFileSync paths are exercised end-to-end. The service accep
+- `tests/stocksCriteria.test.ts` (129 lines) — criteriaEval — /stocks judge 결정론 평가기 테스트. 픽스처는 옛 LLM 프롬프트에 명시돼 있던 사용자의 실제 분류 예시 3종 (마녀공장/기가비스/엔켐) — 코드 판정이 사용자 패턴과 일치해야 한다.
+- `tests/conflictCheck.test.ts` (63 lines) — Schedule Conflict Check (Self-Evolving OS Track 6-2/6-3) 테스트.
 - `tests/dataProcessor.test.ts` (87 lines) — / <reference types="jest" />
 - `tests/findBrainFilesCache.test.ts` (80 lines) — Unit tests for findBrainFiles TTL cache.
 - `tests/integration/mockLLMClient.test.ts` (86 lines) — MockLLMClient 자체의 sanity test. 이게 통과하면 dispatcher / ceoPlanner / ChunkedWriter 등 IAIService 를 받는 코드가 실제 LLM 없이 단위 / integration 테스트 가능. 향후 dispatcher 의 multi-stage flow 같은 큰 integration 테스트는 이 mock 을 
 - `tests/officeSchema.test.ts` (241 lines)
 - `tests/paths.test.ts` (84 lines) — Unit tests for the centralized path resolver.
 - `tests/systemSpecs.test.ts` (90 lines) — Unit tests for SystemSpecs + HeuristicModelMemoryEstimator. Strategy: - HeuristicModelMemoryEstimator is pure — directly drive it with model ids. - NodeSystemSpecsProvider depends on os. so we test: a
-- `tests/transaction.test.ts` (68 lines) — / <reference types="jest" />
-- `tests/vulnerability.test.ts` (60 lines) — / <reference types="jest" />
-- `tests/brainIndex.test.ts` (107 lines)
-- `tests/calendarApi.test.ts` (131 lines)
-- `tests/contextManager.test.ts` (149 lines)
-- `tests/icsParser.test.ts` (134 lines)
-- `tests/lessonHelpers.test.ts` (191 lines)
-- `tests/projectChronicle.test.ts` (199 lines)
 
 ### `core_py/` — 6 files, ~409 lines
 
@@ -165,17 +165,18 @@ flowchart LR
 - `core_py/optimizer.py` (55 lines)
 - `core_py/queue_worker.py` (82 lines)
 
-### `docs/` — 112 files, ~3,927 lines
+### `docs/` — 114 files, ~4,223 lines
 
 **Sub-directories**
-- `docs/records/` (99) — Bug: /Volumes/Data/project/Antigravity/ConnectAI 프로젝트 코드 리뷰 해줄 수 있어? 개선할 부분이 있는지, 그러고...
+- `docs/records/` (100) — Bug: /Volumes/Data/project/Antigravity/ConnectAI 프로젝트 코드 리뷰 해줄 수 있어? 개선할 부분이 있는지, 그러고...
 - `docs/docs/` (5) — Bug: Viewed integrationretrieval.test.ts:1-59 integrationretrieval.test.ts를 통해 ...
 - `docs/Meeting/` (0)
 
 **Key files**
 - `docs/TELEGRAM_REMOTE_EXECUTION_PLAN.md` (452 lines) — Telegram Remote Execution 기획서
 - `docs/AgentEngine_Architecture.md` (314 lines) — AgentEngine Architecture Document
-- `docs/records/ConnectAI/timeline.md` (248 lines) — Project Timeline
+- `docs/records/ConnectAI/timeline.md` (251 lines) — Project Timeline
+- `docs/SELF_EVOLVING_OS_MASTER_PLAN.md` (274 lines) — ASTRA Self-Evolving Digital Employee OS — 마스터 개발 계획 v1.1
 - `docs/ASTRA_OFFICE_REFACTOR.md` (198 lines) — Astra Office Refactor — Design Doc
 - `docs/EXPERIENCE_MEMORY_PLAN.md` (122 lines) — Experience Memory (Mistake / Lesson Loop) — Implementation Plan
 - `docs/records/ConnectAI/development/2026-05-02_connectai_project_knowledge_overview.md` (121 lines) — Astra Project Knowledge Overview
@@ -197,14 +198,18 @@ flowchart LR
 - `docs/records/ConnectAI/bugs/BUG-0008-volumes-data-project-antigravity-connectai-내-질문에-대한-답변이-잘-정리.md` (16 lines) — Bug: /Volumes/Data/project/Antigravity/ConnectAI 내 질문에 대한 답변이 잘 정리되서 알려주긴 하는데 focused...
 - `docs/records/ConnectAI/bugs/BUG-0009-문제점을-읽고-어떻게-개선하는게-최선인지-분석해주면-좋겠어-알겠습니다-지금부터-connectai-프로젝트-에.md` (16 lines) — Bug: 문제점을 읽고 어떻게 개선하는게 최선인지 분석해주면 좋겠어. 알겠습니다. 지금부터 ConnectAI 프로젝트에만 완전히 집중하겠습니다. ...
 - `docs/records/ConnectAI/bugs/BUG-0010-문제점을-읽고-어떻게-개선하는게-최선인지-분석해주면-좋겠어-알겠습니다-지금부터-connectai-프로젝트-에.md` (16 lines) — Bug: 문제점을 읽고 어떻게 개선하는게 최선인지 분석해주면 좋겠어. 알겠습니다. 지금부터 ConnectAI 프로젝트에만 완전히 집중하겠습니다. ...
-- `docs/records/ConnectAI/bugs/BUG-0011-문제점을-읽고-어떻게-개선하는게-최선인지-분석해주면-좋겠어-알겠습니다-지금부터-connectai-프로젝트-에.md` (16 lines) — Bug: 문제점을 읽고 어떻게 개선하는게 최선인지 분석해주면 좋겠어. 알겠습니다. 지금부터 ConnectAI 프로젝트에만 완전히 집중하겠습니다. ...
 
 ## VS Code Extension Surface
 - **Extension ID**: `g1nation.astra`
 - **Activation events**: `onStartupFinished`
-- **Commands** (31):
+- **Commands** (36):
   - `g1nation.newChat` — Astra: New Chat
   - `g1nation.eval.retrieval` — Astra: 검색 평가 실행 (recall@k / MRR)
+  - `g1nation.eval.tasks` — Astra: 업무 평가 실행 (회의록 골든셋)
+  - `g1nation.growth.report` — Astra: 성장 리포트 (Reflection 추이)
+  - `g1nation.growth.learningQueue` — Astra: 학습 큐 갱신 (Need Engine)
+  - `g1nation.knowledge.decayAudit` — Astra: 지식 노후 점검 (Knowledge Decay)
+  - `g1nation.research.runQueue` — Astra: 학습 실행 (Research Agent — 승인된 큐 항목)
   - `g1nation.embeddings.backfill` — Astra: 두뇌 임베딩 전체 색인
   - `g1nation.exportChat` — Astra: Export Chat as Markdown
   - `g1nation.explainSelection` — Astra: Explain Selected Code
@@ -234,7 +239,7 @@ flowchart LR
   - `g1nation.calendar.refresh` — Astra: Google Calendar 새로고침 📅
   - `g1nation.calendar.connectOAuth` — Astra: Google Calendar OAuth 연결 (쓰기) 🔐
   - `g1nation.devilAgent.toggle` — Astra: Toggle Devil Agent 🎭
-- **Configuration** (129 settings):
+- **Configuration** (138 settings):
   - `g1nation.multiAgentEnabled` *(boolean)* _(default: `false`)_ — Enable Multi-Agent Workflow (Planner -> Researcher -> Writer) for complex tasks.
   - `g1nation.datacollectBridgeTarget` *(string)* _(default: `"local"`)_
   - `g1nation.datacollectBridgeUrl` *(string)* _(default: `"http://127.0.0.1:3002"`)_ — [local 타깃] Wiki/Datacollect MCP Bridge URL. /benchmark, /youtube, /wikify chat slash commands route here. The Bridge must be running (`npm run bridge` in the Datacollect project).
@@ -247,6 +252,7 @@ flowchart LR
   - `g1nation.chatTemperature` *(number)* _(default: `0.3`)_
   - `g1nation.meetUsesTasks` *(boolean)* _(default: `true`)_
   - `g1nation.meetUsesCalendar` *(boolean)* _(default: `false`)_
+  - `g1nation.meetVerifyPass` *(boolean)* _(default: `false`)_
   - `g1nation.teamVoiceGuide` *(string)* _(default: `""`)_
   - `g1nation.memoryEnabled` *(boolean)* _(default: `true`)_ — Enable layered memory injection before each model response.
   - `g1nation.memoryShortTermMessages` *(number)* _(default: `8`)_ — Number of recent conversation messages included as short-term memory.
@@ -294,8 +300,7 @@ flowchart LR
   - `g1nation.skillKnowledgeMapPath` *(string)* _(default: `""`)_ — Absolute path to the agent ↔ knowledge mapping JSON. When empty, defaults to '<workspace>/.astra/agent-knowledge-map.json'.
   - `g1nation.skillKnowledgeMap` *(object)* _(default: `{}`)_ — Inline fallback for the agent ↔ knowledge mapping. Used only when the JSON file is missing. Shape: { defaultAgent?, agents: [{ name, knowledgeFolders, model?, description? }] }. Folder paths can be ab
   - `g1nation.agentSkillsPath` *(string)* _(default: `""`)_ — Absolute path to the agent skills folder (`.agent/skills/*.md`). When empty, defaults to '<workspace>/.agent/skills'. Use this on Windows or when your skills live outside the workspace.
-  - `g1nation.embeddingModel` *(string)* _(default: `""`)_ — Embedding model registered in LM Studio / Ollama (e.g. 'text-embedding-bge-small-en-v1.5', 'nomic-embed-text', 'multilingual-e5-small'). When empty, Astra uses TF-IDF only. When set, the brain is embe
-  - _…and 69 more_
+  - _…and 78 more_
 
 ## Dependencies
 - **Runtime** (2): `@lmstudio/sdk`, `pdf-parse`
@@ -343,7 +348,7 @@ Astra는 대표님의 명시적인 승인 하에 로컬 시스템의 강력한
 **Designed for High-Performance Decision Making.**
 Copyright (C) **g1nation**. All rights reserved.
 
-_Last auto-scan: 2026-06-09T02:20:50.409Z · signature `18ddda74`_
+_Last auto-scan: 2026-06-11T04:29:35.678Z · signature `84d17da6`_
 <!-- ASTRA:AUTO-END -->
 
 ## Purpose