LAXworkspace
알림 · 보고서
📚

리아· LAX 사서 (법률 지식 큐레이터)↗

온라인입력 173.3K (캐시 74%) · 출력 3.0K
새 대화
세션 목록
다음은 "판례 지식층 주간 갱신" 작업에서 생성된 내용이다: I'll start by loading the established procedure skill and the current state of the target pages. <div class="tool-d tool-plain">🔧 <b>Skill</b></div> [[THINK]]Following my usual startup routine, I'll read index.md and the four wiki files while running the corpus snapshot queries in parallel, along with checking the inbox and log tail as memory #151 suggests.[[/THINK]] <details class="tool-d"><summary>⚡ <b>명령</b> <span class="tool-s">· cd C:/Users/user/lax-brain &amp;&amp; echo "=== INDEX (판례 항목) ===" &amp;&amp; grep -n "판례" company/index.m…</span></summary><div class="tool-full">cd C:/Users/user/lax-brain &amp;&amp; echo "=== INDEX (판례 항목) ===" &amp;&amp; grep -n "판례" company/index.md &amp;&amp; echo "=== INBOX ===" &amp;&amp; ls -la _inbox/ 2&gt;/dev/null &amp;&amp; echo "=== LOG tail ===" &amp;&amp; tail -12 company/log.md &amp;&amp; echo "=== WIKI sizes ===" &amp;&amp; wc -l company/wiki/판례-*.md</div></details> <details class="tool-d"><summary>⚡ <b>명령</b> <span class="tool-s">· cd C:/Users/user/LAX-site &amp;&amp; node daemon/tools/d1q.mjs "SELECT 'A_tag' k, query_tag, COUNT…</span></summary><div class="tool-full">cd C:/Users/user/LAX-site &amp;&amp; node daemon/tools/d1q.mjs "SELECT 'A_tag' k, query_tag, COUNT(*) n FROM precedents WHERE workspace_id IS NULL GROUP BY query_tag ORDER BY n DESC; SELECT 'B_total' k, COUNT(*) total, SUM(CASE WHEN body IS NOT NULL AND length(body)&gt;0 THEN 1 ELSE 0 END) with_body FROM precedents; SELECT 'C_src' k, source, CASE WHEN workspace_id IS NULL THEN 'null' ELSE 'ws' END w, COUNT(*) n FROM precedents GROUP BY source, w ORDER BY n DESC; SELECT 'D_edge' k, (SELECT COUNT(*) FROM precedent_statutes) statutes, (SELECT COUNT(*) FROM precedent_citations) citations, (SELECT COUNT(*) FROM precedent_citations WHERE internal_serial IS NOT NULL) internal_edges"</div></details> [[THINK]]The corpus counts remain unchanged across the board—still no petition-brief cases found. Now I'll read through the four wiki types and recompu 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 is the weekly case law refresh, and I'm noticing overlap with several similar past entries already in memory. I want to avoid duplicating those while still capturing what's worth keeping - specifically the parallel batch execution covering skills, index, inbox, log, and wiki size along with a four-sentence corpus snapshot.

Since #152 already covers this session's date and confirms no corpus changes, that part is redundant and I'll skip it. But the specific SQL used for the four-sentence corpus snapshot batch query (tagging, totals, source, and edge counts) isn't fully captured in prior entries, so that's worth saving as a reusable reference. I'm hesitant to overwrite the existing weekly-refresh skill without knowing its full contents, so I'll check whether it already contains SQL blocks before deciding how to proceed - a quick grep should tell me.

⚡ 명령 · cd "C:/Users/user/LAX-site/daemon/agent-skills/ria/.claude/skills/precedent-knowledge-laye…
cd "C:/Users/user/LAX-site/daemon/agent-skills/ria/.claude/skills/precedent-knowledge-layer-weekly-refresh" 2>/dev/null && ls && grep -n "d1q\|A_tag\|SELECT" SKILL.md | head -30
💭 사고 과정

I'm checking whether the skill already includes the raw SQL for the corpus snapshot, but a search for "SELECT" turns up nothing, so it's missing. I should add a four-statement snapshot SQL block to the skill after reviewing the relevant section, then edit it in.

⚡ 명령 · cd "C:/Users/user/LAX-site/daemon/agent-skills/ria/.claude/skills/precedent-knowledge-laye…
cd "C:/Users/user/LAX-site/daemon/agent-skills/ria/.claude/skills/precedent-knowledge-layer-weekly-refresh" && sed -n '1,30p' SKILL.md
💭 사고 과정

The skill is already detailed, but I got the actual SQL for the corpus snapshot from this transcript, so adding that to procedure 2 would let future runs copy-paste directly. I should edit the skill to include this, then save one memory noting the snapshot batch SQL is now canonicalized and reflected in the skill.

⚡ 명령 · cd "C:/Users/user/LAX-site/daemon/agent-skills/ria/.claude/skills/precedent-knowledge-laye…
cd "C:/Users/user/LAX-site/daemon/agent-skills/ria/.claude/skills/precedent-knowledge-layer-weekly-refresh" && python - <<'PY'
import io
p='SKILL.md'
s=io.open(p,encoding='utf-8').read()
old="2. 코퍼스 스냅샷 4문장 배치(query_tag 분포 / 총계·본문 / source·workspace_id / statutes·citations·internal_edges).\n"
new=old+""" 착수 배치(그대로 복붙, 한 줄):
`SELECT 'A_tag' k, query_tag, COUNT(*) n FROM precedents WHERE workspace_id IS NULL GROUP BY query_tag ORDER BY n DESC; SELECT 'B_total' k, COUNT(*) total, SUM(CASE WHEN body IS NOT NULL AND length(body)>0 THEN 1 ELSE 0 END) with_body FROM precedents; SELECT 'C_src' k, source, CASE WHEN workspace_id IS NULL THEN 'null' ELSE 'ws' END w, COUNT(*) n FROM precedents GROUP BY source, w ORDER BY n DESC; SELECT 'D_edge' k, (SELECT COUNT(*) FROM precedent_statutes) statutes, (SELECT COUNT(*) FROM precedent_citations) citations, (SELECT COUNT(*) FROM precedent_citations WHERE internal_serial IS NOT NULL) internal_edges`
동시에 셸 1회로 brain 상태를 함께 연다: `grep -n "판례" company/index.md` + `ls -la _inbox/` + `tail -12 company/log.md` + `wc -l company/wiki/판례-*.md`.
"""
assert old in s
io.open(p,'w',encoding='utf-8').write(s.replace(old,new,1))
print('ok')
PY

검토 결과 — 이번 회차의 새 정보는 "무변동 확인"(#152와 중복)이 아니라 착수 배치의 구체 SQL/셸 조합이었다. 스킬에 반영했다.

항목 처리
코퍼스 무변동 재확인 기존 메모리 #152와 중복 → 저장 안 함
스냅샷 4문장 SQL 원문 스킬 절차 2에 복붙용으로 정본화 (Before: "4문장 배치" 서술만 / After: SQL 원문 + brain 상태 셸 1줄 병기)
새 스킬 생성 불필요 — precedent-knowledge-layer-weekly-refresh가 이미 정본, 덮어쓰기 대신 해당 절 편집

@@SUGGEST@@eyJzIjpbIuydtOuyiCDtmozssKgg7YyQ66GAIDTsooUg6rCx7IugIOqysOqzvOulvCDsmpTslb3tlbTspJgiLCLsiqTtgqzsl5Ag7KCV67O47ZmU65CcIOywqeyImCDrsLDsuZjrpbwg6re464yA66GcIO2VnCDrsogg64+M66Ck67SQIiwiX2luYm947JeQIOygleumrO2VoCDstqnrj4wg7J6I64qU7KeAIO2ZleyduO2VtOykmCJdfQ==@@