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오프라인입력 833.4K (캐시 93%) · 출력 8.5K

⚠ 로컬 데몬이 오프라인입니다 — 메시지는 큐에 쌓였다가 데몬이 켜지면 처리됩니다.

🗜 이 대화가 길어졌습니다 — 컨텍스트 압축 또는 새 세션을 권장합니다.

다음은 "판례 지식층 주간 갱신" 작업에서 생성된 내용이다: <div class="tool-d tool-plain">🔧 <b>Skill</b></div> <details class="tool-d"><summary>🔌 <b>agents__recall_memory</b> <span class="tool-s">· { "id": 140 }</span></summary><div class="tool-full">{<br> "id": 140<br>}</div></details> <details class="tool-d"><summary>📖 <b>읽기</b> <span class="tool-s">· 판례-지식층.md</span></summary><div class="tool-full">C:\Users\user\lax-brain\company\wiki\판례-지식층.md</div></details> <details class="tool-d"><summary>📖 <b>읽기</b> <span class="tool-s">· 판례-조문클러스터.md</span></summary><div class="tool-full">C:\Users\user\lax-brain\company\wiki\판례-조문클러스터.md</div></details> [[THINK]]이제 리딩케이스와 키워드축 페이…[[/THINK]] <details class="tool-d"><summary>📖 <b>읽기</b> <span class="tool-s">· 판례-리딩케이스.md</span></summary><div class="tool-full">C:\Users\user\lax-brain\company\wiki\판례-리딩케이스.md</div></details> <details class="tool-d"><summary>📖 <b>읽기</b> <span class="tool-s">· 판례-키워드축.md</span></summary><div class="tool-full">C:\Users\user\lax-brain\company\wiki\판례-키워드축.md</div></details> <details class="tool-d"><summary>⚡ <b>명령</b> <span class="tool-s">· cd /c/Users/user/LAX-site && node daemon/tools/d1q.mjs "SELECT query_tag, COUNT(*) n, SUM(…</span></summary><div class="tool-full">cd /c/Users/user/LAX-site && node daemon/tools/d1q.mjs "SELECT query_tag, COUNT(*) n, SUM(CASE WHEN body IS NOT NULL AND length(body)>0 THEN 1 ELSE 0 END) body_n FROM precedents GROUP BY query_tag ORDER BY n DESC; SELECT COUNT(*) total, SUM(CASE WHEN body IS NOT NULL AND length(body)>0 THEN 1 ELSE 0 END) body_total FROM precedents; SELECT source, CASE WHEN workspace_id IS NULL THEN 'NULL' ELSE 'HAS_WS' END ws, COUNT(*) n FROM precedents GROUP BY source, ws; SELECT (SELECT COUNT(*) FROM precedent_statutes) statutes_rows, (SELECT COUNT(*) FROM precedent_citations) citations_rows, (SELECT COUNT(*) FROM precedent_citations WHERE internal_serial IS NOT NULL) internal_edges"</div></details> [[THINK]]코퍼스 통계를 정리하고 있는데, 조문 상위 20개와 대표사건 상위 3개를 도메인 위 내용을 검토하고, 기억할 가치가 있는 핵심 인사이트·후속 조치·개선점을 STORE_MEMORY: {"key":"...", "value":"..."} 명령으로 저장하라. 최대 3개 항목만 저장하고, 중복은 건너뛰어라. 또한 이 작업에 다음에 또 쓸 만한 *재사용 절차*가 있었다면, STORE_SKILL: {"name":"영문-kebab","description":"언제 쓰는지 한 줄","body":"절차 마크다운(줄바꿈 \n)"} 명령으로 스킬 1개를 저장하라. 재사용할 반복 절차가 없으면 스킬은 만들지 마라(억지로 만들지 말 것).

💭 사고 과정

This looks like a request to reflect on and save progress from the precedent knowledge layer weekly refresh task, which already has an existing skill and several related memory entries. Since the actual task results are unclear, I need to be careful to avoid duplicating existing memories while figuring out what new information is worth storing.

I'm identifying that the standard procedure of running a single d1q.mjs call with multiple semicolon-separated SELECT statements to pull a corpus snapshot (counts by query_tag, body coverage, totals, source×workspace breakdown, and edge table row counts) is distinct enough from existing memories #140 and #137 to warrant its own entry as a "corpus snapshot query set." I'm also considering whether the #141 staleness issue on the hub page's graph scale was addressed in this refresh, though I can't confirm that without more certainty.…

🔍 파일찾기 · **/precedent-knowledge-layer-weekly-refresh/SKILL.md

**/precedent-knowledge-layer-weekly-refresh/SKILL.md
경로: C:/Users/user/LAX-site/daemon/agent-skills/ria

📖 읽기 · SKILL.md

C:\Users\user\LAX-site\daemon\agent-skills\ria\.claude\skills\precedent-knowledge-layer-weekly-refresh\SKILL.md

💭 사고 과정

The skill is already solid. I should add the stage-2 corpus integrity snapshot query as a ready-to-reuse SQL block, and add the #141 stale issue (checking whether the hub L11 graph scale figures were actually updated) to the checklist—this would genuinely improve the skill.

But I don't actually know if this round fixed that issue, so it should only go in as a "verify" item, not a confirmed fact.

For memory, I'm limited to 3 items and need to avoid duplicates. The corpus snapshot batch query belongs in the skill, not memory—no need to duplicate it there. As for today's weekly update work, #116 already records the three-case weekly update as completed on 2026-08-11, which is…

⚡ 명령 · head -20 "C:/Users/user/lax-brain/company/wiki/판례-지식층.md"

💭 사고 과정

As #141 pointed out, the L11 graph figures (1,382/3,169/1,818) and the 2026-07-07 timestamp are still stale and weren't updated this round. I need to check the database for actual values, but the query results from this session got cut off — though #141 already recorded the real numbers as 51,481/80,567/44,120.…

⚡ 명령 · cd /c/Users/user/LAX-site && node daemon/tools/d1q.mjs "SELECT (SELECT COUNT(*) FROM prece…

cd /c/Users/user/LAX-site && node daemon/tools/d1q.mjs "SELECT (SELECT COUNT(*) FROM precedents) p, (SELECT COUNT(*) FROM precedent_statutes) s, (SELECT COUNT(*) FROM precedent_citations) c" 2>&1 | tail -20

💭 사고 과정

Checking the actual numbers against the file, I see the figures in 판례-지식층.md line 11 are still outdated, and the "1,339 전수" phrasing may also be stale. This is something I can actually fix — even though it's a retrospective turn, confirmed staleness is worth correcting,…

⚡ 명령 · grep -n "1,382\|1,339\|3,169\|1,818" "company/wiki/판례-지식층.md"

⚡ 명령 · cd /c/Users/user/LAX-site && node daemon/tools/d1q.mjs "SELECT COUNT(*) total, SUM(CASE WH…

cd /c/Users/user/LAX-site && node daemon/tools/d1q.mjs "SELECT COUNT(*) total, SUM(CASE WHEN body IS NOT NULL AND length(body)>0 THEN 1 ELSE 0 END) body_n FROM precedents" 2>&1 | head -4

💭 사고 과정

Now I need to fix the numbers with actual measured figures: replacing the 1,339 references with the correct counts — 28,893 for the static body content and 51,481 for the live query total in…

📖 읽기 · 판례-지식층.md