feat: 改寫為 Node.js，新增動漫角色建人格、劇場模式與記憶固化條件
腳本全面從 Python 改寫為 Node.js（ESM，只用內建模組，無 npm 依賴）： scripts/persona-lib.mjs（核心）、scripts/persona.mjs（CLI）、hooks/*.mjs（六個 hook）、scripts/selftest.mjs（68 項自我測試，全綠）。 新增： - persona-anime skill：用「動漫作品＋角色名」建立人格，先上網蒐集至少三個獨立 來源的公開設定，映射成 OpenClaw 的 IDENTITY 五欄位與 SOUL 四段落，再固化成 canon 基礎記憶（每則帶來源 URL）＋原作人際關係圖＋依角色型別的情緒基線； 必寫 roleplay-frame 界線記憶（非官方、非本人）。 - 劇場模式：invite 後只顯示人格對話（`名字：內容`）。UserPromptSubmit hook 每輪 注入強制規則、Stop hook 完全靜音，CLI 新增 --quiet 與 room script（乾淨對話稿）。 leave 後沒客人自動關閉，也可用 room theater --on/--off 手動切換。 - 短期→長期記憶的成文轉入條件 R1–R6（promotionCandidates）與 candidates 子指令， hook 在達標時提醒固化；長期記憶新增 canon 型別與 rules 欄位。 - 人格改為「由使用者呼叫才載入」：SessionStart hook 只列出可用人格，不自動附身。 其他：版本號改回 0.0.1；README／AGENTS.md 同步更新。 Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
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Claude Opus 5
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-3
@@ -732,6 +732,125 @@ export function recall(slug, query, limit = 5) {
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return scored.slice(0, limit).map((s) => s.meta);
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}
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// --------------------------------------------------------------------------- //
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// 短期 → 長期的轉入條件（固化門檻）
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// --------------------------------------------------------------------------- //
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/** 承諾／界線類的關鍵詞：命中就一定要固化。 */
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const COMMITMENT_RE =
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/(答應|承諾|保證|說好|約定|一定會|絕對不|不要再|以後都|從今天起|拜託你記住|記住這件事|下次記得|deadline|due)/i;
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const BOUNDARY_RE = /(不准|不許|禁止|別再|我討厭|我最恨|底線|界線|不能接受|不想聽)/;
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export const PROMOTION_RULES = [
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{ id: "R1", label: "高顯著度單筆（salience ≥ 60）" },
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{ id: "R2", label: "主題反覆出現（同 topic ≥ 3 筆，或 ≥ 2 筆且平均 salience ≥ 45）" },
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{ id: "R3", label: "情緒衝擊大（單筆情緒變動總量 ≥ 25）" },
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{ id: "R4", label: "承諾／界線（intent=commit 或命中承諾/界線關鍵詞）" },
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{ id: "R5", label: "人物反覆出現（同一 entity ≥ 2 筆）" },
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{ id: "R6", label: "容量壓力（短期記憶 ≥ 40 筆，依顯著度排序清出空間）" },
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];
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function emotionImpact(entry) {
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return Object.values(entry.emotion_deltas || {}).reduce((sum, v) => sum + Math.abs(Number(v) || 0), 0);
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}
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/**
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* 掃短期記憶，依 PROMOTION_RULES 算出「該轉入長期記憶」的候選。
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* 回傳 { total, pressure, candidates: [{ rules, key, kind, entries, suggested_type, suggested_salience }] }
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*/
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export function promotionCandidates(slug) {
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const rows = readJsonl(shortTermPath(slug));
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const total = rows.length;
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const byTopic = new Map();
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const byEntity = new Map();
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const singles = [];
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rows.forEach((row, index) => {
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const entry = { ...row, _index: index };
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const salience = Number(row.salience || 0);
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const impact = emotionImpact(row);
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const text = String(row.text || "");
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const rules = [];
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if (salience >= 60) rules.push("R1");
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if (impact >= 25) rules.push("R3");
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if (row.intent === "commit" || COMMITMENT_RE.test(text)) rules.push("R4");
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if (BOUNDARY_RE.test(text)) rules.push("R4");
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if (rules.length) {
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singles.push({
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rules: [...new Set(rules)],
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key: text.slice(0, 40),
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kind: "entry",
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entries: [entry],
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suggested_type: rules.includes("R4") ? (BOUNDARY_RE.test(text) ? "boundary" : "promise") : "event",
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suggested_salience: Math.max(salience, rules.includes("R4") ? 80 : 60),
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});
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}
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for (const topic of row.topics || []) {
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if (!byTopic.has(topic)) byTopic.set(topic, []);
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byTopic.get(topic).push(entry);
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}
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for (const entity of row.entities || []) {
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if (!byEntity.has(entity)) byEntity.set(entity, []);
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byEntity.get(entity).push(entry);
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}
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});
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const candidates = [...singles];
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for (const [topic, entries] of byTopic) {
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const avg = entries.reduce((s, e) => s + Number(e.salience || 0), 0) / entries.length;
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if (entries.length >= 3 || (entries.length >= 2 && avg >= 45)) {
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candidates.push({
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rules: ["R2"],
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key: topic,
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kind: "topic",
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entries,
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suggested_type: "preference",
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suggested_salience: Math.min(95, Math.round(avg + 10)),
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});
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}
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}
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for (const [entity, entries] of byEntity) {
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if (entries.length >= 2) {
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candidates.push({
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rules: ["R5"],
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key: entity,
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kind: "entity",
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entries,
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suggested_type: "relationship",
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suggested_salience: Math.min(90, Math.round(entries.reduce((s, e) => s + Number(e.salience || 0), 0) / entries.length + 5)),
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});
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}
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}
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const pressure = total >= CONSOLIDATE_THRESHOLD;
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if (pressure) {
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const top = [...rows]
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.map((r, i) => ({ ...r, _index: i }))
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.sort((a, b) => Number(b.salience || 0) - Number(a.salience || 0))
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.slice(0, 5);
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candidates.push({
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rules: ["R6"],
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key: `容量壓力（${total} 筆）`,
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kind: "pressure",
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entries: top,
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suggested_type: "event",
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suggested_salience: 55,
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});
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}
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// 同一則短期記憶可能觸發多條規則 → 依 key 去重、合併規則
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const merged = new Map();
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for (const cand of candidates) {
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const dedupeKey = `${cand.kind}:${cand.key}`;
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if (merged.has(dedupeKey)) {
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const prev = merged.get(dedupeKey);
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prev.rules = [...new Set([...prev.rules, ...cand.rules])];
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prev.suggested_salience = Math.max(prev.suggested_salience, cand.suggested_salience);
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} else {
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merged.set(dedupeKey, { ...cand });
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}
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}
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return { total, pressure, candidates: [...merged.values()] };
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}
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/** 被回想到就更新 last_seen / recall_count（記憶越常用越不易被淘汰）。 */
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export function touchRecall(slug, names) {
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const wanted = new Set(names);
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@@ -1245,9 +1364,12 @@ export function turnContext(slug, sessionId, prompt = "") {
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" 想結束請等使用者說，或由使用者說「結束對話」後才做收尾與摘要。",
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);
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} else {
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const pending = readJsonl(shortTermPath(slug)).length;
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if (pending >= CONSOLIDATE_THRESHOLD) {
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lines.push(`⚠ 短期記憶已累積 ${pending} 筆，建議執行 /jsc-persona:persona-memory 固化為長期記憶。`);
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const { total, candidates } = promotionCandidates(slug);
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if (candidates.length) {
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const rules = [...new Set(candidates.flatMap((c) => c.rules))].sort().join("/");
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lines.push(
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`⚠ 短期記憶 ${total} 筆，其中 ${candidates.length} 組已達固化條件（${rules}）→ 執行 /jsc-persona:persona-memory。`,
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);
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}
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let inbox = [];
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try {
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