fix(plugin): reject conversational acts in L2 policy induction (v3)

apps/memos-local-plugin/core/llm/prompts/l2-induction.ts

@@ -14,10 +14,14 @@ import type { PromptDef } from "./index.js";
  * belongs to the L3 world model, not here. The system prompt explicitly
  * rejects environment-fact drift to keep the two layers semantically
  * orthogonal. Bumping the version to v2 captures that change.
+ * v3 history: adds a negative list for conversational acts (clarify /
+ * confirm-with-user / notify / reporting status). 2026-08-28 audit: those
+ * crystallized into dead skills nobody can invoke.
+ * Bumping the version to v3 captures that change.
  */
 export const L2_INDUCTION_PROMPT: PromptDef = {
   id: "l2.induction",
-  version: 2,
+  version: 3,
   description:
     "Distill an L2 policy (procedural sub-task strategy) from a cluster of similar L1 traces, with explicit boundaries against L3 world-model drift.",
   system: `You induce reusable **procedural policies** from agent experience.
@@ -70,6 +74,22 @@ check, not as a standalone description. Example:
     caveats:  ["if first apk add still fails, also check musl-vs-glibc
                wheel compatibility before retrying"]
 
+──────────────────── Conversational acts are not policies ────────────────────
+
+Do NOT write a policy whose core ACTION is talking to the user: asking
+a clarifying question, requesting confirmation, notifying, or reporting
+status. Those are one-off dialogue behaviours, not reusable procedures —
+they later crystallize into dead "skills" no agent can invoke.
+
+If the underlying trace really contains a reusable check, express the
+CHECK itself as the action:
+
+  Wrong (conversational act):
+    action: "ask the user to confirm the skill name before viewing it"
+  Right (reusable check):
+    action: "resolve the skill id via skill list search before invoking
+    it; on miss, fall back to keyword search instead of prompting"
+
 ──────────────────── Same fact, two framings ─────────────────────
 
 If the underlying truth is "Alpine containers don't ship system dev

apps/memos-local-plugin/tests/unit/memory/l2/induce.test.ts

@@ -44,7 +44,7 @@ describe("memory/l2/induce", () => {
   it("returns {ok:true, draft} and fills support_trace_ids when the LLM omits them", async () => {
     const llm = fakeLlm({
       completeJson: {
-        "l2.l2.induction.v2": {
+        "l2.l2.induction.v3": {
           title: "install system libs first",
           trigger: "pip install fails in container with missing system library",
           procedure: "1. detect missing lib 2. apk/apt-get install 3. retry pip",
@@ -75,7 +75,7 @@ describe("memory/l2/induce", () => {
   it("cleans unsafe markup from LLM-derived policy fields", async () => {
     const llm = fakeLlm({
       completeJson: {
-        "l2.l2.induction.v2": {
+        "l2.l2.induction.v3": {
           title: "<img src=x onerror=alert(1)> install system libs",
           trigger: "<script>alert(1)</script>pip fails [bad](javascript:alert(1))",
           procedure: "Use [safe](https://example.com), ignore [bad](javascript:alert(1))",
@@ -149,7 +149,7 @@ describe("memory/l2/induce", () => {
   it("reason=llm_failed when the LLM draft is malformed (missing title)", async () => {
     const llm = fakeLlm({
       completeJson: {
-        "l2.l2.induction.v2": { trigger: "no title", procedure: "..." },
+        "l2.l2.induction.v3": { trigger: "no title", procedure: "..." },
       },
     });
     const res = await induceDraft(

apps/memos-local-plugin/tests/unit/memory/l2/l2.integration.test.ts

@@ -112,7 +112,7 @@ describe("memory/l2/integration", () => {
 
     const llm = fakeLlm({
       completeJson: {
-        "l2.l2.induction.v2": {
+        "l2.l2.induction.v3": {
           title: "install missing system libs in container",
           trigger: "pip install fails in container with MODULE_NOT_FOUND due to missing system lib",
           procedure: "1. detect lib 2. use distro pkg manager 3. retry pip",
@@ -367,7 +367,7 @@ describe("memory/l2/integration", () => {
         repos: handle.repos,
         llm: fakeLlm({
           completeJson: {
-            "l2.l2.induction.v2": {
+            "l2.l2.induction.v3": {
               title: " 闲聊场景下避免使用emoji ",
               trigger: "用户发起非任务性闲聊，且未明确要求使用emoji",
               procedure: "以简洁、自然的文字回应，但不添加任何emoji或表情符号",
@@ -457,7 +457,7 @@ describe("memory/l2/integration", () => {
         repos: handle.repos,
         llm: fakeLlm({
           completeJson: {
-            "l2.l2.induction.v2": {
+            "l2.l2.induction.v3": {
               title: "结构化呈现外部数据查询结果",
               trigger: "agent通过工具调用获取到外部数据源的原始响应（搜索结果、API返回、数据库查询等），需要向用户呈现信息",
               procedure: "1) 从原始数据中提取关键信息要素；2) 按逻辑分类组织信息（时间、地点、数值、状态等）；3) 使用结构化格式呈现（分类标题、列表、表格等）；4) 可选：基于数据添加简短的实用性总结或建议",
@@ -548,7 +548,7 @@ describe("memory/l2/integration", () => {
         repos: handle.repos,
         llm: fakeLlm({
           completeJson: {
-            "l2.l2.induction.v2": {
+            "l2.l2.induction.v3": {
               ...shared,
               boundary: "仅适用于数据库事务和写入操作，不适用于天气API或公开搜索结果",
               rationale: "边界不同，不能复用天气呈现经验",
@@ -630,7 +630,7 @@ describe("memory/l2/integration", () => {
         repos: handle.repos,
         llm: fakeLlm({
           completeJson: {
-            "l2.l2.induction.v2": {
+            "l2.l2.induction.v3": {
               title: "工具全部失效时坦诚说明并回退到已有知识",
               trigger: "连续尝试多个同类工具（如多个搜索引擎、多个新闻源）后全部因反爬、封禁或网络错误失效，且用户问题需要实时信息",
               procedure: "1) 明确告知用户所有尝试过的工具都已失效（列出具体工具名）；2) 基于训练数据中的已有知识提供最接近的答案；3) 明确标注该信息的时间戳或来源时间，并提醒用户可能存在时效性差异；4) 建议用户通过其他渠道（如直接搜索、官方网站）验证",
@@ -663,7 +663,7 @@ describe("memory/l2/integration", () => {
 
     const llm = fakeLlm({
       completeJson: {
-        "l2.l2.induction.v2": {
+        "l2.l2.induction.v3": {
           title: "t",
           trigger: "tr",
           procedure: "pr",