twmd-babel

Development

Multi-language batch sync (主權的巴別塔) via canonical SQUEEZE-MODELS-MAX-PIPELINE v3 — priority schema (P0/P1/P2/P2.5/P3) + smart tier routing (Tier 0a Sonnet diff-patch / Tier 0b deterministic bump / Tier 1-4 cascade for full translation). TRIGGER when: user says "巴別塔", "多語 batch", "5 lang sync", "跑 babel", "繼續 babel".

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Source SKILL.md: https://github.com/frank890417/taiwan-md/blob/HEAD/.claude/skills/twmd-babel/SKILL.md

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🧬 Taiwan.md — Babel Tower (Smart Multi-lang Batch) v3.0

🚨 STRICT BECOME GATE — 第一動作不可省略

Before anything else：跑 /twmd-become write 完整走 BECOME_TAIWANMD.md Step 0-9。Write mode self-test 8-9 題全過才能進 Stage 1。

✅ BECOME ack: mode=write / 8 organ 最低=<即時 consciousness-snapshot.sh> / Q14 cross-session continuity=PASS

Schedule context (v2.8)

Routine cron 30 0 * * *（每天 00:30，2026-05-28 shift 從 05:00 → 00:30 避開 06:00 morning chain collision）。Babel 預估自然跑完 1-5 hr 不設預算上限。Worst case 4hr 49min 仍剩 41 min buffer 到 06:00 data-refresh-am。Sun 邊界與 01:00-04:00 reflection chain 重疊 → 走 ROUTINE.md §sibling-routine-collision-handling 模式（detached subprocess + selective git add -u 排除 knowledge/{en,ja,ko,es,fr}/*.md in-flight）。

義務鐵律（不主動 defer / partial / 守 boundary）

Babel 義務是把 5 lang stale 推到 0，不是「跑一小時就結束」
Memory 不准寫「主動 defer 守 1hr 預算」「partial 收尾」
Quality gate 判定 pass/fail 只看 stale=0 OR 4-tier cascade exhausted

Pipeline

嚴格完整讀取 SQUEEZE-MODELS-MAX-PIPELINE.md（現行版：priority schema + Tier 0 patch + backend cascade 抽象層 — cascade 順序以 pipeline 與 translate.py DEFAULT_CASCADE_ID 為準，本 skill 不寫死模型名；2026-07-05 前此處釘 v3 + owl-alpha 已 stale 25 天）。

Decision tree per batch：

Step 1: 跑 prioritize-batch.py 取下一批 20 articles
  python3 scripts/tools/lang-sync/prioritize-batch.py --lang all --by-article --top-n 20 --out /tmp/batch.txt

Step 2: 看每篇 priority 決定路徑：
  P0 (missing)         → Tier 1 cascade（full translation，backend 順序見 translate.py）
  P1 (major, diff ≥ 50)→ Tier 1 cascade
  P2 (minor, diff < 50)→ Tier 0a diff-patch (Sonnet sub-agent)
  P2.5 (metadata-only) → Tier 0b bump-source-sha (deterministic, instant)
  P3 (old, fresh hash) → 視內容 P2/P2.5 路由

Step 3: 執行：
  - P0+P1 → prepare-batch.py（**per-lang 分開跑，禁 --lang all**，REFLEXES #40/#42 v6）+ translate.py cascade
  - P2    → diff-patch-prepare.py + Agent tool 平行 dispatch Sonnet sub-agents
  - P2.5  → bump-source-sha.py --apply (instant)

DNA #35 鐵律：sub-agent 跑期間禁 git reset --hard / git checkout -- file。
DNA #45 鐵律：cloud Tier 1+ dispatch 每 lang 1 worker（5 simultaneous = safe baseline，不要 burst）。Tier 0a Sonnet sub-agent 可平行 5+ Agent calls in single message（Anthropic API 不同 quota）。
Smart tier router（PRC-sensitivity / size / prior refusal cache）：見 prioritize-batch.py suggest_tier()。
遠端 GPU tier（雲地混合，v2.0 2026-06-14）：大批量 / sovereignty-sensitive / 成本敏感 → 下放地端 GPU 軍團。硬體層委派 fleet（~/Projects/muse-bot/fleet/，node selection / 連線 / 主權 model 全是它的事）：eval "$(bash scripts/tools/lang-sync/fleet-endpoint.sh --export)" → 軍團挑機器、translation 工具自動走那台（直連 Tailscale 無 tunnel）。整合性閘門必跑（本地 LLM 靜默截斷，byte-size 攔不住）。完整 SOP：REMOTE-GPU-PIPELINE.md。

Stage D — diary 認知層 babel（v3.1，2026-06-14 新增）

article babel（Stage 1-3）跑完後，同步認知層日記（docs/semiont/diary/）。新日記每天被 session / routine 寫出，不接進飛輪就持續累積未翻。硬體層委派 GPU 軍團，走 REMOTE-GPU-PIPELINE.md：

# 1. 問軍團要 sovereignty-safe endpoint（fleet 自己挑機器；無 ready GPU → skip 下 cycle 重試）
eval "$(bash scripts/tools/lang-sync/fleet-endpoint.sh --export)" || { echo "no fleet GPU — skip diary sweep"; }
# 2. 缺口 → cascade（inline 整合性閘門：截斷自動重譯）
python3 scripts/tools/lang-sync/diary-translate.py --status --langs en,ja,ko,es,fr
bash scripts/tools/lang-sync/diary-translate-cascade.sh --tier ollama --langs en,ja,ko,es,fr
# 3. post-hoc audit 收斂到 0 critical（HARD GATE）
python3 scripts/tools/lang-sync/diary-translation-audit.py --langs en,ja,ko,es,fr
# 4. commit + push（同 Stage 3 main-direct）

鐵律：硬體（node selection / 連線 / 主權 model）是 fleet 的事，Taiwan.md 只管翻譯 + 閘門；diary 義務同 article — 推 missing → 0；整合性 audit CRITICAL > 0 不算完。GPU 不可達不是 fail，是 skip + 下 cycle 重試（cloud free tier 對 diary 也會 refuse/截斷，不當 fallback）。

Tier 0a Sonnet patch agent prompt template

You are a translation patch agent for Taiwan.md.

Read patch task from .lang-sync-tasks/diff-patch/{lang}-patch-tasks.json (index N).

For the assigned (zh_path, lang) pair:
1. Read task JSON for zh_diff + current_zh + current_translation + expected hashes
2. Decide what to patch:
   - frontmatter changes (tags reformat / sporeLinks updates) → mirror to translation
   - body prose changes → translate ONLY changed sentences, preserve unchanged verbatim
   - sourceCommitSha / sourceContentHash / sourceBodyHash → update from task expected_*
   - translatedAt → use current ISO timestamp (UTC, format: 2026-05-09T05:31:47Z)
3. Write atomic via Write tool to translation_path
4. Verify: YAML valid (no \' inside single-quotes), body length ±10%

Critical:
- DO NOT re-translate paragraphs that didn't change in zh
- DO NOT touch zh-TW source files
- DO NOT modify _translations.json
- When uncertain, preserve original

Self-evolution rule

每次大波 babel 完成後（≥ 50 translations shipped）：

跑整合性閘門（不只眼測抽樣）：article 走 verify-batch.py / diary 走 diary-translation-audit.py，收斂到 0 critical 才算完。byte-size 不算閘門（長檔靜默截斷成 2KB 仍 > 1KB；本地 LLM early-stop 必驗）
抽樣 5 random articles 各 lang，audit 品質（size ratio + sample translation）
如有新 model refusal pattern → 寫進 _refusal-cache.json
如有新 YAML quoting bug → 升 article-health.py plugin gate
如有新 anti-pattern → append LESSONS-INBOX.md

故意最小化。Priority schema / Tier 0 patch / Tier 1-4 cascade / refusal handling / merge SOP 全部在 pipeline canonical。