From ee923ef6f82ee27d49d4029b07454b4d0f9faaf7 Mon Sep 17 00:00:00 2001
From: ThearchyHelios <work@thearchyhelios.com>
Date: Wed, 21 Oct 2026 18:35:22 +0800
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---
 frontend/src/dev/fixtures/analysis.tsx   |   91 ++
 frontend/src/run/AssistantStream.tsx     |  110 +-
 frontend/src/run/__tests__/fixtures.json | 1738 ++++++++++++++++++++++
 frontend/src/run/__tests__/synthetic.ts  |   41 +
 frontend/src/run/decode.ts               |  144 +-
 frontend/src/store/chat.ts               |    4 +
 scripts/check-decode.mjs                 |   62 +
 scripts/check-stream.mjs                 |   81 +
 8 files changed, 2265 insertions(+), 6 deletions(-)
 create mode 100644 frontend/src/dev/fixtures/analysis.tsx

diff --git a/frontend/src/dev/fixtures/analysis.tsx b/frontend/src/dev/fixtures/analysis.tsx
new file mode 100644
index 00000000..38c7bb9e
--- /dev/null
+++ b/frontend/src/dev/fixtures/analysis.tsx
@@ -0,0 +1,91 @@
+import type { JSX } from 'react'
+import fixtures from '../../run/__tests__/fixtures.json'
+import { AssistantStream, type StreamTurn } from '../../run/AssistantStream'
+import { decodeRun } from '../../run/decode'
+import { analysisTeamRun } from '../../run/__tests__/synthetic'
+import type { RunEvent } from '../../types'
+
+/**
+ * 分析能力一轮在问数据时间线、出具横幅上的样子，scripts/check-stream.mjs 按它检查：
+ *
+ * - ?syn=analysis：两轮真跑出来的事件（fixtures.json 的 analysis_agent、analysis_card，后端测试库里的虚构零售库 shop、模型换成
+ *   脚本录下的）。第一轮 Agent 查两次库、写错一次变化拆解（调用有误）、做变化拆解、波动基线（算不了）、可比性检查，报告有 3 处
+ *   分析说法标注（check，不影响档位）；第二轮分析卡两项（波动基线算不了、按地区拆解）
+ * - ?syn=analysis-issued：出具横幅里分析能力一轮的三项都在——分析说法 strict 记了缺口、指标两期有条件可比和不可比、报告引用的
+ *   指标没追到原始数据（受管级别记了缺口）
+ * - ?syn=analysis-team：协作成员调分析工具（编号是成员自己的）
+ *
+ * 地区、门店、指标、数字都是虚构的；说法照服务端的写法
+ */
+
+type Fixture = Record<string, RunEvent[]>
+const F = fixtures as unknown as Fixture
+
+const outputOf = (events: RunEvent[]) => (events.find((e) => e.type === 'run.finished')?.data as { output?: Record<string, unknown> })?.output
+
+function recordedTurns(): StreamTurn[] {
+  const agent = F.analysis_agent
+  const card = F.analysis_card
+  return [
+    { id: 'analysis-agent', question: '本周销售额为什么下降', phase: 'done', status: '已完成',
+      steps: decodeRun(agent, { status: 'succeeded' }), output: outputOf(agent), runId: 'syn-analysis-agent', runClass: 'exploratory' },
+    { id: 'analysis-card', question: '按模板出本周的异动分析', phase: 'done', status: '已完成',
+      steps: decodeRun(card, { status: 'succeeded' }), output: outputOf(card), runId: 'syn-analysis-card', runClass: 'exploratory' },
+  ]
+}
+
+/** 三项都在的出具声明（照 engine/nodes/io.py 的形状；strict 的那几处原话照服务端 analysis_claims 的写法） */
+export const ANALYSIS_ISSUANCE = {
+  mode: 'citations', tier: 'degraded', matched_numbers: 3, metrics_checked: 1, missing_required: [], missing_expected: [],
+  unmatched_numbers: [], calibers: [],
+  gaps: [
+    '报告「写周报」有 1 处分析说法未通过核对（1 处与所挂结论的判定对不上）：判断要挂对应的分析结论并照判定写，原因要有知识库原话或运行输入作依据',
+    '指标「环比」两期不可比：两边除了日期，筛选的还不一样',
+    '指标「客单价」的输入没追到原始数据：vars.aov（停在「沙箱估算」）',
+  ],
+  analysis_claims: {
+    mode: 'strict', count: 1, counts: { analysis_claim_mismatch: 1 }, counted: true,
+    violations: [{ code: 'analysis_claim_mismatch', text: '主要来自', claim: 'source', op: 'decompose', analyses: ['A1'], unit: 'u3',
+      segment: 's12', span: [80, 84], message: '「主要来自华南」与所挂的分析结论 A1 对不上：判定的主要来源是华东，不是华南',
+      context: '其中下降主要来自华南。' }],
+  },
+  comparability: [
+    { metric: 'wow', name: '环比', verdict: 'incomparable', phrase: '两期不可比：两边除了日期，筛选的还不一样', reasons: ['两边除了日期，筛选的还不一样'] },
+    { metric: 'mom', name: '月环比', verdict: 'conditional', phrase: '两期有条件可比：两段的周末天数不同：4 天对 6 天',
+      reasons: ['两段的周末天数不同：4 天对 6 天'] },
+  ],
+  untraced: { metrics: [{ metric: 'aov', name: '客单价', stops: [{ path: 'vars.aov', node_id: 'estimate' }] }], counted: true },
+}
+
+function issuedTurn(): StreamTurn {
+  const at = Date.now() / 1000 - 30
+  const output = { 周报: '本周销售额下降，主要来自华东。', _issuance: ANALYSIS_ISSUANCE }
+  const events: RunEvent[] = [
+    { seq: 1, type: 'run.started', node_id: null, ts: at, data: { nodes: 1 } },
+    { seq: 2, type: 'node.started', node_id: 'done', ts: at + 1, data: { node_type: 'output', label: '成果' } },
+    { seq: 3, type: 'issuance', node_id: 'done', ts: at + 1.2, data: { tier: 'degraded', mode: 'citations',
+      gaps: ANALYSIS_ISSUANCE.gaps, analysis_claims: { mode: 'strict', count: 1, counted: true } } },
+    { seq: 4, type: 'node.finished', node_id: 'done', ts: at + 1.3, data: { duration_ms: 300 } },
+    { seq: 5, type: 'run.finished', node_id: null, ts: at + 1.4, data: { output, duration_ms: 1400 } },
+  ]
+  return { id: 'analysis-issued', question: '本周销售周报', phase: 'done', status: '已完成',
+           steps: decodeRun(events, { status: 'succeeded' }), output, runId: 'syn-analysis-issued', runClass: 'formal' }
+}
+
+function teamTurn(): StreamTurn {
+  const ev = analysisTeamRun()
+  return { id: 'analysis-team', question: '销售额为什么下降', phase: 'done', status: '已完成',
+           steps: decodeRun(ev, { status: 'succeeded' }), runId: 'syn-analysis-team' }
+}
+
+export const cases: Record<string, () => JSX.Element> = {
+  analysis: () => (
+    <div className="h-screen" data-fixture="analysis"><AssistantStream turns={recordedTurns()} /></div>
+  ),
+  'analysis-issued': () => (
+    <div className="h-screen" data-fixture="analysis-issued"><AssistantStream turns={[issuedTurn()]} /></div>
+  ),
+  'analysis-team': () => (
+    <div className="h-screen" data-fixture="analysis-team"><AssistantStream turns={[teamTurn()]} /></div>
+  ),
+}
diff --git a/frontend/src/run/AssistantStream.tsx b/frontend/src/run/AssistantStream.tsx
index 79899ade..51d675d6 100644
--- a/frontend/src/run/AssistantStream.tsx
+++ b/frontend/src/run/AssistantStream.tsx
@@ -4,7 +4,7 @@ import {
 } from 'react'
 import { Link } from 'react-router-dom'
 import {
-  AlertCircle, AlertTriangle, ArrowDown, Brain, ChevronRight, CircleCheck, CircleDot, CornerDownRight,
+  AlertCircle, AlertTriangle, ArrowDown, Brain, ChartColumnStacked, ChevronRight, CircleCheck, CircleDot, CornerDownRight,
   Database, Download, ExternalLink, FileCode, FileDown, GitBranch, Hand, Info, ListChecks, Play, Settings2,
   Scale, ShieldCheck, Sparkles, Table2, Terminal, UserX, Users, Wrench, XCircle,
 } from 'lucide-react'
@@ -20,6 +20,7 @@ import {
   nodeTypeLabel,
 } from '../lib/terms'
 import { SqlCheckList } from './SqlChecks'
+import { ANALYSIS_TEXT } from '../lib/termsAnalysis'
 import {
   ISSUANCE_HINT, childrenByExec, compactSteps, parseQueryResult, progressOf, splitIssuanceGaps, spread, teamVerdictOf,
   type Exec, type FixKind, type ResultTable as Table, type Step, type StepKind, type TeamMemberEx,
@@ -28,7 +29,9 @@ import {
 import { CODE_COLUMN, CopyChip, LEADING_ZERO, Markdown, type MarkSpec } from './Markdown'
 import { ClaimTally, EvidenceField, type EvidenceDocHandle } from './EvidenceDoc'
 import { EVIDENCE_STATE, claimProblems, docTally, evidenceFields, issuanceMarks, type EvidenceTally } from '../lib/evidence'
-import type { EvidenceDocData, IssuanceSqlCheck } from '../types'
+import type {
+  EvidenceDocData, IssuanceAnalysisClaims, IssuanceComparability, IssuanceSqlCheck, IssuanceUntraced,
+} from '../types'
 import { useRunClock } from './useRunClock'
 import { CatalogPatchCard } from './CatalogPatchCard'
 import type { CatalogPatch } from './catalogPatch'
@@ -131,7 +134,7 @@ export interface StreamTurn {
 }
 
 const ICONS: Record<StepKind, typeof Wrench> = {
-  node: CircleDot, think: Brain, llm: Sparkles, query: Database, schema: Table2,
+  node: CircleDot, think: Brain, llm: Sparkles, query: Database, schema: Table2, analysis: ChartColumnStacked,
   tool: Wrench, code: Terminal, branch: GitBranch, human: Hand,
   issuance: FileCode, note: CircleDot, error: XCircle, lifecycle: CircleCheck,
 }
@@ -1011,6 +1014,11 @@ const REVEAL_TRIES = 4
 const notable = (s: Step): boolean =>
   s.status === 'failed' || s.status === 'running' || s.status === 'waiting' || s.status === 'rejected'
   || s.level === 'error' || s.level === 'warn'
+/**
+ * 折起来时也留着的：上面那些，加上分析的那几行——判定语就是这一步查出来的结论（变化来自哪里、算不算异常），收进「前面的 N 条」
+ * 就看不到 Agent 是怎么下的判断。它们不算出了问题（分轮的警示标记只看 notable）
+ */
+const kept = (s: Step): boolean => notable(s) || s.kind === 'analysis'
 
 function StepList({ steps, depth, turnMs, fold = false }: {
   steps: Step[]; depth: number; turnMs?: number
@@ -1025,7 +1033,7 @@ function StepList({ steps, depth, turnMs, fold = false }: {
   // 问题的一律留着。反过来只画前 20 条的话，长运行跑到后面，正在跑的那一步反而
   // 被收进「展开其余」里看不见
   const keep = fold && rows.length > 6 ? 3 : rows.length > LIST_CAP ? LIST_HEAD : 0
-  const shown = !all && keep ? rows.filter((s, i) => notable(s) || i >= rows.length - keep) : rows
+  const shown = !all && keep ? rows.filter((s, i) => kept(s) || i >= rows.length - keep) : rows
   const hidden = rows.length - shown.length
   // 画布上点名要看的节点正好收在前面那一截里：先展开，上面的定位下一帧就找得到它
   useLayoutEffect(() => {
@@ -1086,7 +1094,8 @@ function StepLine({ step, depth, turnMs }: { step: Step; depth: number; turnMs?:
   const [open, setOpen] = useState(false)
   const Icon = ICONS[step.kind] ?? CircleDot
   const result = step.result
-  const expandable = !!(step.detail || result || step.raw || step.artifact || step.checks?.length)
+  const expandable = !!(step.detail || result || step.raw || step.artifact || step.checks?.length
+    || step.analysis?.phrase || step.analysis?.hypothesis)
   const table = result ? parseQueryResult(result) : null
   const status = step.status ?? 'done'
   // 失败的节点：收着的时候就说为什么（和轮次顶上的报错同一份 lib/explain），展开再看原因、
@@ -1136,6 +1145,7 @@ function StepLine({ step, depth, turnMs }: { step: Step; depth: number; turnMs?:
       data-node-id={step.nodeId}
       data-step-status={failed ? 'failed' : status}
       data-step-code={step.code}
+      data-step-kind={step.kind}
       aria-busy={running || undefined}
     >
       <button
@@ -1539,8 +1549,26 @@ function StepDetail({ step, table, explained }: {
           </ul>
         </div>
       )}
+      {step.analysis && (step.analysis.phrase || step.analysis.hypothesis) && (
+        // 分析：判定语（服务端写好的一句，收着时副标题可能被截断）、Agent 写的假设（只在这里和证据面板显示，不是结论）
+        <dl className="space-y-0.5 text-2xs leading-relaxed" data-step-analysis={step.analysis.alias ?? step.analysis.item ?? ''}>
+          {step.analysis.phrase && (
+            <div className="flex gap-1.5">
+              <dt className="shrink-0 text-faint">{ANALYSIS_TEXT.step.phrase}</dt>
+              <dd className="min-w-0 text-fg [overflow-wrap:anywhere]" data-step-analysis-phrase="">{step.analysis.phrase}</dd>
+            </div>
+          )}
+          {step.analysis.hypothesis && (
+            <div className="flex gap-1.5">
+              <dt className="shrink-0 text-faint">{step.analysis.item ? ANALYSIS_TEXT.step.itemHypothesis : ANALYSIS_TEXT.step.hypothesis}</dt>
+              <dd className="min-w-0 text-dim [overflow-wrap:anywhere]" data-step-analysis-hypothesis="">{step.analysis.hypothesis}</dd>
+            </div>
+          )}
+        </dl>
+      )}
       {detail && (
         <div className="group/detail relative">
+          {step.kind === 'analysis' && <div className="mb-0.5 text-2xs text-dim">{ANALYSIS_TEXT.step.args}</div>}
           {step.kind === 'query' && (
             <div className="mb-0.5 flex items-center gap-2 text-2xs text-dim">
               <span className={step.merge ? undefined : 'mono'}>{step.merge ? MERGE_TEXT.sql : 'SQL'}</span>
@@ -2362,6 +2390,75 @@ export function IssuanceSqlChecks({ tier, checks }: { tier: string; checks: Issu
   )
 }
 
+/**
+ * 出具声明里分析能力一轮的三项（engine/nodes/io.py），都只在有的时候带：
+ * - analysis_claims：分析说法核对，strict 或有违规时有——几处、记没记缺口（strict 记缺口、check 只标注）、前几处的原话
+ * - comparability：报告引用的指标里两期有条件可比、不可比的，判定语和原因（不可比的另记了缺口，在其余缺口里）
+ * - untraced：报告引用的指标里输入没追到原始数据的，追到哪个节点为止（受管级别的正式运行记缺口）
+ * 说法都是服务端写好的（违规的原话、判定语、原因），这里只排版；颜色跟着档位，同 IssuanceSqlChecks
+ */
+export function IssuanceAnalysis({ tier, claims, comparability, untraced }: {
+  tier: string; claims?: IssuanceAnalysisClaims | null; comparability?: IssuanceComparability[]; untraced?: IssuanceUntraced | null
+}) {
+  const I = ANALYSIS_TEXT.issuance
+  const tone = tier === 'withheld' ? 'var(--st-failed)' : 'var(--st-waiting)'
+  const violations = (claims?.violations ?? []).filter((v) => v && typeof v === 'object')
+  const count = typeof claims?.count === 'number' ? claims.count : violations.length
+  const metrics = (untraced?.metrics ?? []).filter((m) => m && typeof m === 'object')
+  if (!(claims && (count > 0 || claims.counted)) && !comparability?.length && !metrics.length) return null
+  const box = { borderColor: `color-mix(in srgb, ${tone} 45%, var(--border))`, background: `color-mix(in srgb, ${tone} 6%, transparent)` }
+  return (
+    <>
+      {claims && (count > 0 || claims.counted) && (
+        <div className="mt-1.5 rounded border px-2 py-1.5 text-2xs leading-relaxed" style={box}
+             data-issuance-analysis-claims={claims.counted ? 'counted' : 'flagged'}>
+          <div className="flex items-center gap-1 font-medium" style={{ color: tone }}>
+            <AlertTriangle size={11} aria-hidden /> {count > 0 ? I.claimsTitle(count, !!claims.counted) : I.claimsStrictClean}
+          </div>
+          {violations.length > 0 && (
+            <ul className="mt-0.5 space-y-0.5">
+              {violations.map((v, i) => (
+                <li key={`${v.code}:${v.segment ?? i}`} className="[overflow-wrap:anywhere]" data-issuance-analysis-claim={v.code}>
+                  {v.text && <span className="font-medium text-fg">「{v.text}」</span>}
+                  <span className="text-dim">（{ANALYSIS_TEXT.claim.label[v.code] ?? v.code}）</span>
+                  {v.message && <span className="text-fg">：{v.message}</span>}
+                </li>
+              ))}
+            </ul>
+          )}
+          {count > 0 && <div className="mt-0.5 text-dim">{I.claimsNext}</div>}
+        </div>
+      )}
+      {!!comparability?.length && (
+        <div className="mt-1.5 text-2xs leading-relaxed" style={{ color: tone }} data-issuance-comparability={comparability.length}>
+          <div className="font-medium">{I.comparabilityTitle}</div>
+          <ul className="mt-0.5 space-y-0.5 pl-2 [overflow-wrap:anywhere]">
+            {comparability.map((c, i) => (
+              <li key={`${c.metric ?? ''}:${i}`} data-issuance-comparability-item={c.verdict ?? ''}>
+                · {I.comparabilityItem(c.name || c.metric || '', c.phrase || ANALYSIS_TEXT.evidence.comparabilityLabel[c.verdict ?? ''] || '')}
+                {!!c.reasons?.length && <span className="text-dim">（{c.reasons.join('；')}）</span>}
+              </li>
+            ))}
+          </ul>
+        </div>
+      )}
+      {metrics.length > 0 && (
+        <div className="mt-1.5 text-2xs leading-relaxed" style={{ color: tone }} data-issuance-untraced={untraced?.counted ? 'counted' : 'flagged'}>
+          <div className="font-medium">{I.untracedTitle(!!untraced?.counted)}</div>
+          <ul className="mt-0.5 space-y-0.5 pl-2 [overflow-wrap:anywhere]">
+            {metrics.map((m, i) => (
+              <li key={`${m.metric ?? ''}:${i}`}>
+                · {I.untracedItem(m.name || m.metric || '', (m.stops ?? []).map((st) => EVIDENCE_TEXT.originStop(st.path ?? '',
+                  EVIDENCE_TEXT.originNode(st.label || st.node_id || '', st.type ? nodeTypeLabel(st.type) : ''))))}
+              </li>
+            ))}
+          </ul>
+        </div>
+      )}
+    </>
+  )
+}
+
 /**
  * 出具横幅里双盲复算、反方审稿报上来的一组缺口：failed「核查未通过」、unfinished「核查未完成」。排在「校验未全部完成」
  * 上面，样子和它一样（同一种提醒色、小标题加圆点列表），一条都没有时不画
@@ -2495,6 +2592,9 @@ export function IssuanceBanner({ issuance, runClass, evidence }: {
       )}
 
       {!!sqlChecks.length && <IssuanceSqlChecks tier={tier} checks={sqlChecks} />}
+      <IssuanceAnalysis tier={tier} claims={issuance?.analysis_claims}
+                        comparability={Array.isArray(issuance?.comparability) ? issuance.comparability : undefined}
+                        untraced={issuance?.untraced} />
       <IssuanceGaps kind="failed" title={DUAL_CHECK_TEXT.verifyGaps.failed} gaps={verifyFailed} />
       <IssuanceGaps kind="unfinished" title={DUAL_CHECK_TEXT.verifyGaps.unfinished} gaps={verifyUnfinished} />
       {!!gaps.length && (
diff --git a/frontend/src/run/__tests__/fixtures.json b/frontend/src/run/__tests__/fixtures.json
index aa191aed..58b7489c 100644
--- a/frontend/src/run/__tests__/fixtures.json
+++ b/frontend/src/run/__tests__/fixtures.json
@@ -2345,5 +2345,1743 @@
     "duration_ms": 3021
    }
   }
+ ],
+ "analysis_agent": [
+  {
+   "seq": 1,
+   "type": "run.started",
+   "node_id": null,
+   "ts": 1792575316.530459,
+   "data": {
+    "nodes": 4,
+    "resumed": false,
+    "memory_scope": "default",
+    "collection": "default",
+    "approval_default": "dangerous",
+    "tool_trust": {},
+    "agent_limits": {
+     "max_steps": 100,
+     "budget_tokens": 2000000,
+     "budget_usd": null
+    },
+    "data_versions": {},
+    "replay_protocol": 2
+   }
+  },
+  {
+   "seq": 2,
+   "type": "node.started",
+   "node_id": "start",
+   "ts": 1792575316.537408,
+   "data": {
+    "node_type": "input",
+    "label": "开始"
+   }
+  },
+  {
+   "seq": 3,
+   "type": "node.finished",
+   "node_id": "start",
+   "ts": 1792575316.540537,
+   "data": {
+    "duration_ms": 0,
+    "attempt": 1,
+    "preview": {},
+    "vars": null,
+    "artifact": "44136fa355b3678a1146ad16f7e8649e94fb4fc21fe77e8310c060f61caaff8a"
+   }
+  },
+  {
+   "seq": 4,
+   "type": "node.started",
+   "node_id": "bot",
+   "ts": 1792575316.542985,
+   "data": {
+    "node_type": "agent",
+    "label": "问数据"
+   }
+  },
+  {
+   "seq": 5,
+   "type": "llm.start",
+   "node_id": "bot",
+   "ts": 1792575316.5529542,
+   "data": {
+    "model": "mock-fast",
+    "message_count": 2
+   }
+  },
+  {
+   "seq": 6,
+   "type": "llm.end",
+   "node_id": "bot",
+   "ts": 1792575316.5666728,
+   "data": {
+    "agent": "问数据",
+    "model": "mock-fast",
+    "duration_ms": 13,
+    "input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "cost_usd": 0.0,
+    "calls": 1
+   }
+  },
+  {
+   "seq": 7,
+   "type": "tool.start",
+   "node_id": "bot",
+   "ts": 1792575316.5674748,
+   "data": {
+    "tool": "db_query__shop",
+    "args": {
+     "sql": "SELECT week, SUM(amount) AS gmv FROM orders GROUP BY week ORDER BY week",
+     "limit": null
+    },
+    "call_id": "call_0",
+    "timeout_s": 30
+   }
+  },
+  {
+   "seq": 8,
+   "type": "tool.end",
+   "node_id": "bot",
+   "ts": 1792575316.602459,
+   "data": {
+    "tool": "db_query__shop",
+    "call_id": "call_0",
+    "duration_ms": 33,
+    "preview": "{\"columns\": [\"week\", \"gmv\"], \"rows\": [[\"2026-W41\", 2700], [\"2026-W42\", 2360]], \"row_count\": 2, \"truncated\": false, \"elapsed_ms\": 2, \"sql\": \"SELECT week, SUM(amount) AS gmv FROM orders GROUP BY week ORDER BY week\", \"column_types\": {\"week\": \"text\", \"gmv\": \"number\"}, \"source\": \"shop\", \"schema_artifact\": \"ce24a5dda58f88652b13df77a3685c7f03303c8b472d60da5d8b15c0768bc798\", \"artifact\": \"6d7d2de72015d30aa4b988218eda7f72037609596e66167ec498ed070cce8986\"}",
+    "artifact": "4ba2dd6cee87055cef129eeca72a3f85f5d8ecb93dce642f8c8a4776e3c5e163",
+    "query_artifact": "6d7d2de72015d30aa4b988218eda7f72037609596e66167ec498ed070cce8986",
+    "schema_artifact": "ce24a5dda58f88652b13df77a3685c7f03303c8b472d60da5d8b15c0768bc798"
+   }
+  },
+  {
+   "seq": 9,
+   "type": "llm.start",
+   "node_id": "bot",
+   "ts": 1792575316.603271,
+   "data": {
+    "model": "mock-fast",
+    "message_count": 4
+   }
+  },
+  {
+   "seq": 10,
+   "type": "llm.end",
+   "node_id": "bot",
+   "ts": 1792575316.6166248,
+   "data": {
+    "agent": "问数据",
+    "model": "mock-fast",
+    "duration_ms": 13,
+    "input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "cost_usd": 0.0,
+    "calls": 1
+   }
+  },
+  {
+   "seq": 11,
+   "type": "tool.start",
+   "node_id": "bot",
+   "ts": 1792575316.617507,
+   "data": {
+    "tool": "db_query__shop",
+    "args": {
+     "sql": "SELECT region, week, SUM(amount) AS gmv FROM orders GROUP BY region, week ORDER BY region, week",
+     "limit": null
+    },
+    "call_id": "call_1",
+    "timeout_s": 30
+   }
+  },
+  {
+   "seq": 12,
+   "type": "tool.end",
+   "node_id": "bot",
+   "ts": 1792575316.624993,
+   "data": {
+    "tool": "db_query__shop",
+    "call_id": "call_1",
+    "duration_ms": 6,
+    "preview": "{\"columns\": [\"region\", \"week\", \"gmv\"], \"rows\": [[\"华东\", \"2026-W41\", 1000], [\"华东\", \"2026-W42\", 700], [\"华北\", \"2026-W41\", 600], [\"华北\", \"2026-W42\", 590], [\"华南\", \"2026-W41\", 800], [\"华南\", \"2026-W42\", 780], [\"西南\", \"2026-W41\", 300], [\"西南\", \"2026-W42\", 290]], \"row_count\": 8, \"truncated\": false, \"elapsed_ms\": 1, \"sql\": \"SELECT region, week, SUM(amount) AS gmv FROM orders GROUP BY region, week ORDER BY region, week\", \"column_types\": {\"region\": \"text\", \"week\": \"text\", \"gmv\": \"number\"}, \"source\": \"shop\", \"schema_artifact\": \"ce24a5dda58f88652b13df77a3685c7f03303c8b472d60da5d8b15c0768bc798\", \"artifact\": \"759aa3ca28ccc362bb2189b3b43d46ee568501aba01a45a2dc7ccf8c84778197\"}",
+    "artifact": "c11982ecfb3c9fc19cbdc7f8130ce0c074a333fca494fd970f9cb7435e4297e2",
+    "query_artifact": "759aa3ca28ccc362bb2189b3b43d46ee568501aba01a45a2dc7ccf8c84778197",
+    "schema_artifact": "ce24a5dda58f88652b13df77a3685c7f03303c8b472d60da5d8b15c0768bc798"
+   }
+  },
+  {
+   "seq": 13,
+   "type": "llm.start",
+   "node_id": "bot",
+   "ts": 1792575316.625649,
+   "data": {
+    "model": "mock-fast",
+    "message_count": 6
+   }
+  },
+  {
+   "seq": 14,
+   "type": "llm.end",
+   "node_id": "bot",
+   "ts": 1792575316.6383832,
+   "data": {
+    "agent": "问数据",
+    "model": "mock-fast",
+    "duration_ms": 12,
+    "input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "cost_usd": 0.0,
+    "calls": 1
+   }
+  },
+  {
+   "seq": 15,
+   "type": "tool.start",
+   "node_id": "bot",
+   "ts": 1792575316.639947,
+   "data": {
+    "tool": "analysis_decompose",
+    "args": {
+     "mode": "additive",
+     "query": "Q2",
+     "base_query": null,
+     "target_query": null,
+     "by": [
+      "region"
+     ],
+     "period": "week",
+     "base": "2026-W41",
+     "target": "2026-W42",
+     "measure": "sales",
+     "numerator": null,
+     "denominator": null,
+     "product": null,
+     "factors": null,
+     "headline": {
+      "base": "Q1.r0.gmv",
+      "target": "Q1.r1.gmv"
+     },
+     "parent": null,
+     "label": "销售额",
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+   "type": "tool.error",
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+    "error": "分析调用有误，没有记成结论：Q2 里没有「sales」这一列，度量列要写它的列名：Q2 的列有 region、week、gmv",
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+     "sql": "SELECT region, week, SUM(amount) AS gmv FROM orders GROUP BY region, week ORDER BY region, week"
+    },
+    "timeout_s": 30
+   }
+  },
+  {
+   "seq": 10,
+   "type": "tool.end",
+   "node_id": "by_region",
+   "ts": 1792575317.533291,
+   "data": {
+    "tool": "db_query__shop",
+    "duration_ms": 6,
+    "preview": "\"{\\\"columns\\\": [\\\"region\\\", \\\"week\\\", \\\"gmv\\\"], \\\"rows\\\": [[\\\"华东\\\", \\\"2026-W41\\\", 1000], [\\\"华东\\\", \\\"2026-W42\\\", 700], [\\\"华北\\\", \\\"2026-W41\\\", 600], [\\\"华北\\\", \\\"2026-W42\\\", 590], [\\\"华南\\\", \\\"2026-W41\\\", 800], [\\\"华南\\\", \\\"2026-W42\\\", 780], [\\\"西南\\\", \\\"2026-W41\\\", 300], [\\\"西南\\\", \\\"2026-W42\\\", 290]], \\\"row_count\\\": 8, \\\"truncated\\\": false, \\\"elapsed_ms\\\": 0, \\\"sql\\\": \\\"SELECT region, week, SUM(amount) AS gmv FROM orders GROUP BY region, week ORDER BY region, week\\\", \\\"column_types\\\": {\\\"region\\\": \\\"text\\\", \\\"week\\\": \\\"text\\\", \\\"gmv\\\": \\\"number\\\"}, \\\"source\\\": \\\"shop\\\", \\\"schema_artifact\\\": \\\"ce24a5dda58f88652b13df77a3685c7f03303c8b472d60da5d8b15c0768bc798\\\", \\\"artifact\\\": \\\"b5845b34a6bce0a295517cd02f66e4a3d528095b6d07a12f4d6365bdd98bb5ff\\\"}\"",
+    "artifact": "255818dbbd6be5205b13bb7f06c20793e552f69e467aa35d882efab62a4f402a",
+    "query_artifact": "b5845b34a6bce0a295517cd02f66e4a3d528095b6d07a12f4d6365bdd98bb5ff",
+    "schema_artifact": "ce24a5dda58f88652b13df77a3685c7f03303c8b472d60da5d8b15c0768bc798"
+   }
+  },
+  {
+   "seq": 11,
+   "type": "node.finished",
+   "node_id": "by_region",
+   "ts": 1792575317.5362089,
+   "data": {
+    "duration_ms": 11,
+    "attempt": 1,
+    "preview": "{\"columns\": [\"region\", \"week\", \"gmv\"], \"rows\": [[\"华东\", \"2026-W41\", 1000], [\"华东\", \"2026-W42\", 700], [\"华北\", \"2026-W41\", 600], [\"华北\", \"2026-W42\", 590], [\"华南\", \"2026-W41\", 800], [\"华南\", \"2026-W42\", 780], [\"西南\", \"2026-W41\", 300], [\"西南\", \"2026-W42\", 290]], \"row_count\": 8, \"truncated\": false, \"elapsed_ms\": 0, \"sql\": \"SELECT region, week, SUM(amount) AS gmv FROM orders GROUP BY region, week ORDER BY region, week\", \"column_types\": {\"region\": \"text\", \"week\": \"text\", \"gmv\": \"number\"}, \"source\": \"shop\", \"schema_artifact\": \"ce24a5dda58f88652b13df77a3685c7f03303c8b472d60da5d8b15c0768bc798\", \"artifact\": \"b5845b34a6bce0a295517cd02f66e4a3d528095b6d07a12f4d6365bdd98bb5ff\"}",
+    "vars": null,
+    "artifact": "80544d17183649dcb84cbd5d163d815c408ef76dc9d1959bae3f6246cd5e537a",
+    "evidence": [
+     {
+      "kind": "tool",
+      "node_id": "by_region",
+      "exec": 1,
+      "artifact": "255818dbbd6be5205b13bb7f06c20793e552f69e467aa35d882efab62a4f402a",
+      "tool": "db_query__shop"
+     },
+     {
+      "kind": "query",
+      "node_id": "by_region",
+      "exec": 1,
+      "artifact": "b5845b34a6bce0a295517cd02f66e4a3d528095b6d07a12f4d6365bdd98bb5ff",
+      "via": "255818dbbd6be5205b13bb7f06c20793e552f69e467aa35d882efab62a4f402a",
+      "tool": "db_query__shop",
+      "source": "shop",
+      "columns": [
+       "region",
+       "week",
+       "gmv"
+      ],
+      "rows": 8,
+      "truncated": false,
+      "schema_artifact": "ce24a5dda58f88652b13df77a3685c7f03303c8b472d60da5d8b15c0768bc798",
+      "tables": [
+       "orders"
+      ]
+     },
+     {
+      "kind": "schema",
+      "node_id": "by_region",
+      "exec": 1,
+      "artifact": "ce24a5dda58f88652b13df77a3685c7f03303c8b472d60da5d8b15c0768bc798",
+      "source": "shop",
+      "schema": null,
+      "synced_at": "2026-10-21T09:35:16.507439+00:00",
+      "tables": {
+       "orders": [
+        "id",
+        "week",
+        "region",
+        "channel",
+        "amount"
+       ]
+      }
+     }
+    ]
+   }
+  },
+  {
+   "seq": 12,
+   "type": "node.started",
+   "node_id": "card",
+   "ts": 1792575317.5375721,
+   "data": {
+    "node_type": "analysis",
+    "label": "异动分析"
+   }
+  },
+  {
+   "seq": 13,
+   "type": "analysis.end",
+   "node_id": "card",
+   "ts": 1792575317.542814,
+   "data": {
+    "item": "wow",
+    "op": "baseline",
+    "mode": null,
+    "status": "refused",
+    "verdict": null,
+    "direction": null,
+    "phrase": "波动基线没有做成：只有 0 期历史，至少要 8 期",
+    "reason_code": "history_short",
+    "analysis_artifact": "3277903271e6852f3fbf580f2be28e4320e16bb078e5a4bd8769b053e1619949"
+   }
+  },
+  {
+   "seq": 14,
+   "type": "log",
+   "node_id": "card",
+   "ts": 1792575317.54282,
+   "data": {
+    "level": "warn",
+    "code": "analysis_refused",
+    "item": "wow",
+    "op": "baseline",
+    "reason_code": "history_short",
+    "reason": "只有 0 期历史，至少要 8 期",
+    "message": "「异动分析」的分析项「wow」（波动基线）没有做成：只有 0 期历史，至少要 8 期"
+   }
+  },
+  {
+   "seq": 15,
+   "type": "analysis.end",
+   "node_id": "card",
+   "ts": 1792575317.5491688,
+   "data": {
+    "item": "where",
+    "op": "decompose",
+    "mode": "additive",
+    "status": "ok",
+    "verdict": "driver",
+    "direction": "down",
+    "phrase": "销售额下降 340（-12.6%），主要来自华东（-300，占 88.2%）",
+    "reason_code": null,
+    "analysis_artifact": "4fb1b7444d9ac6a74c7f2f157295f99bb9f2b28aae5891acf8d61253cdc254ba"
+   }
+  },
+  {
+   "seq": 16,
+   "type": "node.finished",
+   "node_id": "card",
+   "ts": 1792575317.5521338,
+   "data": {
+    "duration_ms": 11,
+    "attempt": 1,
+    "preview": {
+     "results": "{'wow': {'status': 'refused', 'verdict': None, 'direction': None, 'values': {}, 'phrase': '波动基线没有做成：只有 0 期历史，至少要 8 期', 'artifact': '3277903271e6852f3fbf580f2be28e4320e16bb078e5a4bd8769b053e1619949'}, 'where': {'status': 'ok', 'verdict': 'driver', 'direction': 'down', 'values': {'base_total': '2700',"
+    },
+    "vars": null,
+    "artifact": "fcdb2facae2309e7a7313781d4c6e07f36aafacdeb0269f4c3e0243cb6b409e8",
+    "evidence": [
+     {
+      "kind": "analysis",
+      "node_id": "card",
+      "exec": 1,
+      "artifact": "3277903271e6852f3fbf580f2be28e4320e16bb078e5a4bd8769b053e1619949",
+      "op": "baseline",
+      "mode": null,
+      "status": "refused",
+      "verdict": null,
+      "inputs": [
+       "31a628af2a85f342af70b2e57f969b44d7b34d68b18c50f8bb0e4c19b3236b74"
+      ],
+      "item": "wow"
+     },
+     {
+      "kind": "analysis",
+      "node_id": "card",
+      "exec": 1,
+      "artifact": "4fb1b7444d9ac6a74c7f2f157295f99bb9f2b28aae5891acf8d61253cdc254ba",
+      "op": "decompose",
+      "mode": "additive",
+      "status": "ok",
+      "verdict": "driver",
+      "inputs": [
+       "31a628af2a85f342af70b2e57f969b44d7b34d68b18c50f8bb0e4c19b3236b74",
+       "b5845b34a6bce0a295517cd02f66e4a3d528095b6d07a12f4d6365bdd98bb5ff"
+      ],
+      "item": "where"
+     }
+    ]
+   }
+  },
+  {
+   "seq": 17,
+   "type": "node.started",
+   "node_id": "write",
+   "ts": 1792575317.553416,
+   "data": {
+    "node_type": "report",
+    "label": "写周报"
+   }
+  },
+  {
+   "seq": 18,
+   "type": "llm.start",
+   "node_id": "write",
+   "ts": 1792575317.558388,
+   "data": {
+    "model": "mock-fast",
+    "message_count": 2
+   }
+  },
+  {
+   "seq": 33,
+   "type": "llm.end",
+   "node_id": "write",
+   "ts": 1792575317.8187468,
+   "data": {
+    "model": "mock-fast",
+    "duration_ms": 260,
+    "input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "cost_usd": 0.0,
+    "calls": 1
+   }
+  },
+  {
+   "seq": 34,
+   "type": "report.checked",
+   "node_id": "write",
+   "ts": 1792575317.835585,
+   "data": {
+    "doc_artifact": "b1423149805a736ca08c5453589fb4c55f4ae2c28cb55abc1e848b03f02e4141",
+    "ok": true,
+    "stats": {
+     "units": 8,
+     "segments": 20,
+     "claims": 4,
+     "connective": 3,
+     "headings": 1,
+     "numbers": 2,
+     "numbers_cited": 2,
+     "values": 2,
+     "entities": 0,
+     "quotes": 0,
+     "uncited_numbers": 0,
+     "unresolved": 0,
+     "unknown_entities": 0,
+     "unverified_entities": 0,
+     "see": 1,
+     "uncited_claims": 0,
+     "violations": 0,
+     "analysis_claims": 0
+    },
+    "violations": [],
+    "repairs": 0,
+    "on_violation": "flag",
+    "failed": false,
+    "claims": "off",
+    "analysis_claims": "check"
+   }
+  },
+  {
+   "seq": 35,
+   "type": "node.finished",
+   "node_id": "write",
+   "ts": 1792575317.843646,
+   "data": {
+    "duration_ms": 282,
+    "attempt": 1,
+    "preview": {
+     "text": "## 本周销售\n\n销售额下降 340（-12.6%），主要来自华东（-300，占 88.2%）。\n\n波动基线没有做成：只有 0 期历史，至少要 8 期\n\n华东的变化为 -300。\n\n| 地区 | 变化 |\n|---|---|\n| 华东 | -300 |",
+     "doc_artifact": "b1423149805a736ca08c5453589fb4c55f4ae2c28cb55abc1e848b03f02e4141",
+     "stats": "{'units': 8, 'segments': 20, 'claims': 4, 'connective': 3, 'headings': 1, 'numbers': 2, 'numbers_cited': 2, 'values': 2, 'entities': 0, 'quotes': 0, 'uncited_numbers': 0, 'unresolved': 0, 'unknown_entities': 0, 'unverified_entities': 0, 'see': 1, 'uncited_claims': 0, 'violations': 0, 'analysis_claim",
+     "violations": "[0 项]",
+     "repairs": 0,
+     "model": "mock-fast",
+     "duration_ms": 277,
+     "claims": "off",
+     "analysis_claims": "check"
+    },
+    "vars": null,
+    "artifact": "03d21262332629b6da0c67b04a78c4063db146aed1632a5fe08dbfd312d3e010"
+   }
+  },
+  {
+   "seq": 36,
+   "type": "node.started",
+   "node_id": "out",
+   "ts": 1792575317.8485398,
+   "data": {
+    "node_type": "output",
+    "label": "成果"
+   }
+  },
+  {
+   "seq": 37,
+   "type": "issuance",
+   "node_id": "out",
+   "ts": 1792575317.853754,
+   "data": {
+    "mode": "citations",
+    "tier": "formal",
+    "report": {
+     "node_id": "write",
+     "doc_artifact": "b1423149805a736ca08c5453589fb4c55f4ae2c28cb55abc1e848b03f02e4141"
+    },
+    "missing_required": [],
+    "missing_expected": [],
+    "unmatched": 0,
+    "unresolved": 0,
+    "calibers": [],
+    "gaps": [],
+    "metrics_checked": 0,
+    "matched_numbers": 2,
+    "matched": [
+     {
+      "token": "-300",
+      "metric": null,
+      "cell": "A2.r0.delta",
+      "segment": "s9",
+      "unit": "u3",
+      "start": 84,
+      "end": 88,
+      "span": [
+       84,
+       88
+      ],
+      "eid": "ev:cell:2de5050ac8c418ad"
+     },
+     {
+      "token": "-300",
+      "metric": null,
+      "cell": "A2.r0.delta",
+      "segment": "s18",
+      "unit": "u7",
+      "start": 120,
+      "end": 124,
+      "span": [
+       120,
+       124
+      ],
+      "eid": "ev:cell:2de5050ac8c418ad"
+     }
+    ]
+   }
+  },
+  {
+   "seq": 38,
+   "type": "node.finished",
+   "node_id": "out",
+   "ts": 1792575317.855974,
+   "data": {
+    "duration_ms": 5,
+    "attempt": 1,
+    "preview": {
+     "周报": "## 本周销售\n\n销售额下降 340（-12.6%），主要来自华东（-300，占 88.2%）。\n\n波动基线没有做成：只有 0 期历史，至少要 8 期\n\n华东的变化为 -300。\n\n| 地区 | 变化 |\n|---|---|\n| 华东 | -300 |",
+     "_issuance": "{'mode': 'citations', 'tier': 'formal', 'report': {'node_id': 'write', 'doc_artifact': 'b1423149805a736ca08c5453589fb4c55f4ae2c28cb55abc1e848b03f02e4141'}, 'calibers': [], 'metrics_checked': 0, 'missing_required': [], 'missing_expected': [], 'unmatched_numbers': [], 'unresolved': [], 'matched_number",
+     "_evidence": "{'report_node': 'write', 'doc_artifact': 'b1423149805a736ca08c5453589fb4c55f4ae2c28cb55abc1e848b03f02e4141', 'fields': ['周报']}"
+    },
+    "vars": null,
+    "artifact": "dbef2e5818f9f16e9eca03b538b34904ca4531525f11204f49201f0911c47128"
+   }
+  },
+  {
+   "seq": 39,
+   "type": "run.finished",
+   "node_id": null,
+   "ts": 1792575317.862838,
+   "data": {
+    "output": {
+     "周报": "## 本周销售\n\n销售额下降 340（-12.6%），主要来自华东（-300，占 88.2%）。\n\n波动基线没有做成：只有 0 期历史，至少要 8 期\n\n华东的变化为 -300。\n\n| 地区 | 变化 |\n|---|---|\n| 华东 | -300 |",
+     "_issuance": {
+      "mode": "citations",
+      "tier": "formal",
+      "report": {
+       "node_id": "write",
+       "doc_artifact": "b1423149805a736ca08c5453589fb4c55f4ae2c28cb55abc1e848b03f02e4141"
+      },
+      "calibers": [],
+      "metrics_checked": 0,
+      "missing_required": [],
+      "missing_expected": [],
+      "unmatched_numbers": [],
+      "unresolved": [],
+      "matched_numbers": 2,
+      "matched": [
+       {
+        "token": "-300",
+        "metric": null,
+        "cell": "A2.r0.delta",
+        "segment": "s9",
+        "unit": "u3",
+        "start": 84,
+        "end": 88,
+        "span": [
+         84,
+         88
+        ],
+        "eid": "ev:cell:2de5050ac8c418ad"
+       },
+       {
+        "token": "-300",
+        "metric": null,
+        "cell": "A2.r0.delta",
+        "segment": "s18",
+        "unit": "u7",
+        "start": 120,
+        "end": 124,
+        "span": [
+         120,
+         124
+        ],
+        "eid": "ev:cell:2de5050ac8c418ad"
+       }
+      ],
+      "stats": {
+       "units": 8,
+       "segments": 20,
+       "claims": 4,
+       "connective": 3,
+       "headings": 1,
+       "numbers": 2,
+       "numbers_cited": 2,
+       "values": 2,
+       "entities": 0,
+       "quotes": 0,
+       "uncited_numbers": 0,
+       "unresolved": 0,
+       "unknown_entities": 0,
+       "unverified_entities": 0,
+       "see": 1,
+       "uncited_claims": 0,
+       "violations": 0,
+       "analysis_claims": 0
+      },
+      "gaps": [],
+      "declared_at": "2026-10-21T09:35:17.853734+00:00"
+     },
+     "_evidence": {
+      "report_node": "write",
+      "doc_artifact": "b1423149805a736ca08c5453589fb4c55f4ae2c28cb55abc1e848b03f02e4141",
+      "fields": [
+       "周报"
+      ]
+     }
+    },
+    "usage": {
+     "input_tokens": 0,
+     "output_tokens": 0,
+     "total_tokens": 0,
+     "cost_usd": 0.0,
+     "calls": 1,
+     "duration_ms": 366,
+     "wall_ms": 366,
+     "active_ms": 366,
+     "wait_ms": 0
+    },
+    "duration_ms": 366,
+    "timing": {
+     "wall_ms": 366,
+     "active_ms": 366,
+     "wait_ms": 0
+    }
+   }
+  }
  ]
 }
\ No newline at end of file
diff --git a/frontend/src/run/__tests__/synthetic.ts b/frontend/src/run/__tests__/synthetic.ts
index d24c3035..8e82baea 100644
--- a/frontend/src/run/__tests__/synthetic.ts
+++ b/frontend/src/run/__tests__/synthetic.ts
@@ -715,3 +715,44 @@ export const COPILOT_OBJECT_ISSUES = [
   { op: 'remove_node', id: 'old' },
   { op: 'final', graph: { nodes: [{ id: 'lp' }, { id: 'ask' }] }, issues: [] },
 ]
+
+/**
+ * 协作成员调分析工具（分析能力一轮）：分析员查一次按地区两周的销售额，做一次变化拆解、一次波动基线（两周历史不够，算不了）。
+ * 字段照 engine/nodes/multi.py：tool.end 带 agent、analysis_artifact 和判定那一小段（tools/analysis.event_view，编号是成员自己的
+ * 分析容器里的）；算不了的另有一条 analysis_refused 的提醒（带 agent、call_id）。preview 是结论 JSON 的前一截，判定语在截掉的那段里
+ */
+export const TEAM_PHRASE = '销售额下降 340（-12.6%），主要来自华东（-300，占 88.2%）'
+export function analysisTeamRun(): RunEvent[] {
+  const { out, ev } = builder('syn-analysis-team')
+  const sql = 'SELECT region, week, SUM(amount) AS gmv FROM orders GROUP BY region, week ORDER BY region, week'
+  ev('run.started', null, { nodes: 3, resumed: false })
+  ev('node.started', 'team', { node_type: 'supervisor', label: '销售分析团队' })
+  ev('agent.route.start', 'team', { round: 0 })
+  ev('agent.route.end', 'team', { round: 0, duration_ms: 900, agents: ['分析员'], parallel: 1, done: false, reason: '先拆一下变化来自哪里' }, 0.9)
+  ev('agent.step.start', 'team', { agent: '分析员', instruction: '拆一下销售额的变化', round: 0, parallel: 1 })
+  ev('tool.start', 'team', { tool: 'db_query__shop', agent: '分析员', call_id: 'm1', args: { sql } }, 0.2)
+  ev('tool.end', 'team', { tool: 'db_query__shop', agent: '分析员', call_id: 'm1', duration_ms: 30,
+    preview: JSON.stringify({ columns: ['region', 'week', 'gmv'], rows: [['华东', '2026-W41', 1000], ['华东', '2026-W42', 700]], row_count: 8 }) }, 0.03)
+  ev('tool.start', 'team', { tool: 'analysis_decompose', agent: '分析员', call_id: 'm2', args: {
+    mode: 'additive', query: 'Q1', by: ['region'], period: 'week', base: '2026-W41', target: '2026-W42', measure: 'gmv',
+    label: '销售额', hypothesis: '下降是不是集中在某个地区', parent: null } }, 0.2)
+  ev('tool.end', 'team', { tool: 'analysis_decompose', agent: '分析员', call_id: 'm2', duration_ms: 8,
+    preview: '{\n  "analysis_artifact": "a1f0", \n  "result": {\n    "op": "decompose",\n    "mode": "additive",\n    "method": "decompose.additive@1",',
+    analysis_artifact: 'a1f0c3d2b4e5f60718293a4b5c6d7e8f90a1b2c3d4e5f60718293a4b5c6d7e8f9',
+    analysis: { alias: 'A1', op: 'decompose', mode: 'additive', status: 'ok', verdict: 'driver', direction: 'down', phrase: TEAM_PHRASE,
+                reason_code: null } }, 0.01)
+  ev('tool.start', 'team', { tool: 'analysis_baseline', agent: '分析员', call_id: 'm3', args: { query: 'Q1', period: 'week', measure: 'gmv' } }, 0.1)
+  ev('tool.end', 'team', { tool: 'analysis_baseline', agent: '分析员', call_id: 'm3', duration_ms: 4,
+    preview: '{\n  "analysis_artifact": "b2e1",',
+    analysis_artifact: 'b2e1d4c3a5f6e70819203b4c5d6e7f8091a2b3c4d5e6f70819203b4c5d6e7f80',
+    analysis: { alias: 'A2', op: 'baseline', mode: null, status: 'refused', verdict: null, direction: null,
+                phrase: '波动基线没有做成：只有 0 期历史，至少要 8 期', reason_code: 'history_short' } }, 0.01)
+  ev('log', 'team', { level: 'warn', code: 'analysis_refused', agent: '分析员', call_id: 'm3', tool: 'analysis_baseline',
+    reason_code: 'history_short', reason: '只有 0 期历史，至少要 8 期', message: '分析员 的 analysis_baseline 没有做成：只有 0 期历史，至少要 8 期' })
+  ev('agent.step.end', 'team', { agent: '分析员', duration_ms: 1200, round: 0, parallel: 1, preview: TEAM_PHRASE }, 0.3)
+  ev('agent.route.start', 'team', { round: 1 })
+  ev('agent.route.end', 'team', { round: 1, duration_ms: 600, agents: [], parallel: 0, done: true, reason: '已经说清来源' }, 0.6)
+  ev('node.finished', 'team', { duration_ms: 3200, attempt: 1, preview: TEAM_PHRASE })
+  ev('run.finished', null, { output: { 结论: TEAM_PHRASE }, timing: { wall_ms: 3400, active_ms: 3400, wait_ms: 0 } })
+  return out
+}
diff --git a/frontend/src/run/decode.ts b/frontend/src/run/decode.ts
index 0ab3ccfd..ed0ab060 100644
--- a/frontend/src/run/decode.ts
+++ b/frontend/src/run/decode.ts
@@ -15,6 +15,7 @@ import { catalogPatchOf, patchBeforeText, patchValueText, patchWhere } from './c
 import { LEDGER_FEEDBACK_TEXT, RECALL_TEXT } from '../lib/termsRecall'
 import { claimCountsOf, isJudged, statsTally } from '../lib/evidence'
 import { isSqlCheckCode, sortSqlChecks, sqlCheckOf, sqlChecksOf, sqlCheckWhere, sqlRuleLabel } from '../lib/sqlcheck'
+import { ANALYSIS_TEXT, analysisMethodLabel, analysisToolOp } from '../lib/termsAnalysis'
 
 // 泳道数据画布也要用（supervisor 节点要展开成协作矩阵），所以类型放在
 // types.ts 里；这里再导出一遍，老引用不用改
@@ -80,6 +81,7 @@ export type StepKind =
   | 'llm'       // 模型调用
   | 'query'     // 数据库查询
   | 'schema'    // 看表结构
+  | 'analysis'  // 分析：Agent 的分析工具、分析卡的一项
   | 'tool'      // 其他工具
   | 'code'      // 沙箱代码
   | 'branch'    // 分支走向
@@ -163,6 +165,8 @@ export interface Step {
   tier?: string
   /** 合并查询那一行（merge.end）：合并了哪几个输入、几条警告。SQL 在 detail，预览在 result */
   merge?: MergeStep
+  /** 分析那一行（Agent 分析工具的 tool.start / tool.end、分析卡一项的 analysis.end）：算子、判定语、编号。参数在 detail */
+  analysis?: AnalysisStep
   /** 对照数据目录的 SQL 检查结果：查询那一行（tool.end.checks）、指标所依据的查询没通过检查那一行（log.checks） */
   checks?: SqlCheckItem[]
   /** fix 要去的不是这一行所在的节点（指标的问题出在来源查询节点的 SQL 上）：去哪个节点、落到哪一栏 */
@@ -181,6 +185,25 @@ export interface MergeStepInput {
   source?: string
 }
 
+/**
+ * 分析的一步：判定语、编号、算不了的原因码都是服务端给的（tool.end 的 analysis，tools/analysis.event_view；分析卡的 analysis.end），
+ * 界面只排版。写错的调用（tool.error 带 call_error）没有判定，callError 是服务端的代码
+ */
+export interface AnalysisStep {
+  op?: string
+  mode?: string | null
+  /** Agent 工具的结论在本节点的编号（A1）；分析卡的一项用 item */
+  alias?: string | null
+  item?: string
+  status?: string
+  verdict?: string | null
+  phrase?: string
+  reasonCode?: string | null
+  callError?: string
+  /** Agent 写的「这次在验证什么」（调用参数里的 hypothesis） */
+  hypothesis?: string
+}
+
 export interface MergeStep {
   inputs: MergeStepInput[]
   /** 执行时的警告条数。警告的原文由同一节点紧接着的 log（merge_key_type…）各占一行，不在这里重复 */
@@ -889,6 +912,35 @@ function explainLog(code: string | undefined, message: string, d: Record<string,
         next: MASKED_CELL_TEXT.next,
       }
     }
+    case 'report_analysis_claims': {
+      // 判断词没挂对分析结论、原因没有依据，重写后仍有（report.py）：读结构化字段 count、texts，不从原话里认。check 照常产出、
+      // 只标注；strict 另记了出具缺口（原话里说了，详情里有）
+      const n = typeof d.count === 'number' && d.count > 0 ? d.count : undefined
+      const texts = strs(d.texts)
+      return {
+        title: ANALYSIS_TEXT.log.claims(n, d.mode === 'strict'),
+        sub: texts.length ? texts.map((t) => `「${t}」`).join('、') : undefined,
+        next: ANALYSIS_TEXT.issuance.claimsNext,
+      }
+    }
+    case 'analysis_refused': {
+      // 分析那一行不在（老事件）时才走到这里：照结构化字段写哪一种分析没有做成、原因
+      const tool = analysisToolOp(d.tool)
+      const op = typeof d.op === 'string' ? d.op : tool
+      return {
+        title: ANALYSIS_TEXT.log.refused(analysisMethodLabel(op), str(d.item)),
+        sub: str(d.reason),
+        next: ANALYSIS_TEXT.step.refusedNext,
+      }
+    }
+    case 'metric_comparability_skipped': {
+      // 口径卡的环比、同比用到两份同形查询，可比性检查没做成（metrics.py）：指标照常算，两期能不能直接比要自己核对
+      return {
+        title: ANALYSIS_TEXT.log.comparabilitySkipped(str(d.metric_name) ?? str(d.metric) ?? ''),
+        sub: str(d.reason),
+        next: ANALYSIS_TEXT.log.comparabilitySkippedNext,
+      }
+    }
     case 'report_catalog_trimmed': {
       // 写作目录超出篇幅（report.py _trimmed_message）。读结构化字段（queries、omitted、nodes），不从原话里认
       const total = typeof d.queries === 'number' ? d.queries : undefined
@@ -1318,11 +1370,48 @@ function toolStep(seq: number, tool: string, args: Record<string, any>): Step {
     return { ...base, kind: 'schema', title: clip(`查看 ${tables.length} 张表的字段：${head}…`),
              detail: tables.join('\n') }
   }
+  const op = analysisToolOp(tool)
+  if (op) {
+    // Agent 的分析工具：标题写算子的叫法（契约的叫法），不写 analysis_decompose；参数里没填的不列。判定语、编号等 tool.end
+    const shown = Object.fromEntries(Object.entries(args ?? {}).filter(([k, v]) => v != null && k !== 'hypothesis'))
+    const hypothesis = typeof args?.hypothesis === 'string' && args.hypothesis.trim() ? args.hypothesis.trim() : undefined
+    return {
+      ...base, kind: 'analysis', title: analysisMethodLabel(op, args?.mode),
+      detail: Object.keys(shown).length ? JSON.stringify(shown, null, 2) : undefined,
+      analysis: { op, ...(args?.mode ? { mode: String(args.mode) } : {}), ...(hypothesis ? { hypothesis } : {}) },
+    }
+  }
   const argText = Object.keys(args ?? {}).length
     ? JSON.stringify(args, null, 2) : ''
   return { ...base, kind: 'tool', title: clip(`调用 ${tool}`), detail: argText || undefined }
 }
 
+/**
+ * tool.end 的 analysis（tools/analysis.event_view）折进分析那一行：标题接上编号，副标题是判定语（算不了的就是「…没有做成：原因」，
+ * 服务端写好的）；算不了的用提醒色。老服务端没有这一段：preview 只是结论的前一截，判定语多半被截掉，只照参数写叫法，不从里面拼
+ */
+function settleAnalysis(step: Step, d: Record<string, any>): void {
+  const view = d.analysis && typeof d.analysis === 'object' ? d.analysis as Record<string, any> : null
+  const info: AnalysisStep = { ...(step.analysis ?? {}) }
+  if (view) {
+    if (typeof view.op === 'string') info.op = view.op
+    if (view.mode != null) info.mode = String(view.mode)
+    if (typeof view.alias === 'string' && view.alias) info.alias = view.alias
+    if (typeof view.status === 'string') info.status = view.status
+    if (typeof view.verdict === 'string') info.verdict = view.verdict
+    if (typeof view.phrase === 'string' && view.phrase) info.phrase = view.phrase
+    if (typeof view.reason_code === 'string') info.reasonCode = view.reason_code
+  }
+  step.analysis = info
+  step.title = ANALYSIS_TEXT.step.title(analysisMethodLabel(info.op, info.mode), info.alias)
+  if (info.phrase) step.sub = step.sub ? `${info.phrase} · ${step.sub}` : info.phrase
+  if (info.status === 'refused') {
+    step.level = 'warn'
+    step.next = ANALYSIS_TEXT.step.refusedNext
+  }
+  if (typeof d.analysis_artifact === 'string' && d.analysis_artifact) step.artifact = d.analysis_artifact
+}
+
 /** 低于这个毫秒数的节点不参与并行分组：瞬时节点谁跟谁都"重叠"，是噪音不是信息 */
 const CONCURRENT_MIN_MS = 30
 /** 开始时刻相差在这个数以内算"同一批出发"。实测 fan-out 的几路相差不到 1ms */
@@ -1739,6 +1828,11 @@ export function decodeRun(events: RunEvent[], final?: RunFinal, opts?: DecodeOpt
   const escalated = new Map<string, { step: Step; tool: string; reason: string }[]>()
   /** node_id → 起止时刻。用来事后认出"哪几个节点是同时跑的" */
   const spans = new Map<string, { start: number; end: number; ms: number }>()
+  /**
+   * 分析那一行（Agent 工具按 call_id，分析卡按节点 + 项）：紧跟着的那条「没有做成」的提醒（log analysis_refused）说的是同一件事，
+   * 那一行已经写了判定语（「…没有做成：原因」），不再另起一行
+   */
+  const analysisSteps = new Map<string, Step>()
 
   /** 协作团队的状态只有一个来源：reduceTeam。画布那边调的是同一个函数 */
   const trackTeam = (event: RunEvent): void => {
@@ -2216,7 +2310,24 @@ export function decodeRun(events: RunEvent[], final?: RunFinal, opts?: DecodeOpt
             step.sub = step.sub ? `${step.sub} · ${counts}` : counts
             if (n('error') || n('warning')) step.level = 'warn'
           }
-          if (step.kind === 'query' || step.kind === 'schema' || failed) {
+          if (step.kind === 'analysis') {
+            // 分析：成了的照 tool.end 的 analysis 写判定语和编号（结论工件在 analysis_artifact，preview 是结论 JSON 的前一截，
+            // 不摆出来）。写错的调用（call_error）和别的工具报错一样算这一次没成，但它没有记成结论、原话交回了 Agent，Agent 会
+            // 照着改了再调：副标题说清没记成结论，下一步写在行下面，原话在展开区
+            if (failed) {
+              const why = String(d.error ?? preview)
+              step.sub = d.call_error ? ANALYSIS_TEXT.step.callError : step.sub
+              step.result = why
+              if (d.call_error) {
+                step.analysis = { ...(step.analysis ?? {}), callError: String(d.call_error) }
+                step.next = ANALYSIS_TEXT.step.callErrorNext
+              }
+            } else {
+              settleAnalysis(step, d)
+              analysisSteps.set(key, step)
+            }
+            step.meta = dur(step.ms)
+          } else if (step.kind === 'query' || step.kind === 'schema' || failed) {
             // 查询保留 SQL 作为 detail，结果另挂；失败时结果就是错误原因
             step.detail = failed ? `${step.detail ?? ''}\n\n${preview}`.trim() : step.detail
             step.result = preview
@@ -2720,6 +2831,12 @@ export function decodeRun(events: RunEvent[], final?: RunFinal, opts?: DecodeOpt
             break
           }
         }
+        if (d.code === 'analysis_refused') {
+          // 一份分析没有做成：分析那一行已经写了「…没有做成：原因」，同一件事不再另起一行。找不到那一行（老事件）才照下面说
+          const key = typeof d.call_id === 'string' && d.call_id ? `call:${d.call_id}`
+            : `${nodeId ?? '_'}:item:${String(d.item ?? '')}`
+          if (analysisSteps.has(key)) break
+        }
         // 双盲复算、反方审稿的日志按 code 和结构化字段解读：info 的也上时间线，没有原话的老日志照样说得出来。
         // 后端标了 warn / error 的照它的来，explainLog 认为该提醒的（有缺口、有推翻）也用提醒色
         if (typeof d.code === 'string' && VERIFY_LOG_CODES.has(d.code)) {
@@ -2863,6 +2980,31 @@ export function decodeRun(events: RunEvent[], final?: RunFinal, opts?: DecodeOpt
         break
       }
 
+      case 'analysis.end': {
+        // 分析卡的一项做完了（engine/nodes/analysis.py）：标题写算子的叫法和这一项的标识，副标题是判定语（服务端写好的，算不了
+        // 的是「…没有做成：原因」）。结论工件可以点开
+        const item = typeof d.item === 'string' ? d.item : ''
+        const info: AnalysisStep = {
+          ...(typeof d.op === 'string' ? { op: d.op } : {}), ...(d.mode != null ? { mode: String(d.mode) } : {}),
+          ...(item ? { item } : {}), ...(typeof d.status === 'string' ? { status: d.status } : {}),
+          ...(typeof d.verdict === 'string' ? { verdict: d.verdict } : {}),
+          ...(typeof d.phrase === 'string' && d.phrase ? { phrase: d.phrase } : {}),
+          ...(typeof d.reason_code === 'string' ? { reasonCode: d.reason_code } : {}),
+        }
+        const refused = d.status === 'refused'
+        const row: Step = {
+          id: `an-${seq}`, seq, kind: 'analysis', nodeId, status: 'done',
+          title: ANALYSIS_TEXT.step.title(analysisMethodLabel(d.op, d.mode), item),
+          ...(info.phrase ? { sub: info.phrase } : {}),
+          ...(refused ? { level: 'warn' as const, next: ANALYSIS_TEXT.step.refusedNext } : {}),
+          ...(typeof d.analysis_artifact === 'string' && d.analysis_artifact ? { artifact: d.analysis_artifact } : {}),
+          analysis: info,
+        }
+        analysisSteps.set(`${nodeId ?? '_'}:item:${item}`, row)
+        push(row, nodeId)
+        break
+      }
+
       case 'merge.end': {
         // 合并查询：几次查询的结果在库外按键合并。和查询同一类（kind query）：detail 是合并 SQL，result 是预览，
         // 工件是合并结果的查询快照。输入列在 merge 里，展开区单列一块；警告的原文由紧跟着的 log 各占一行
diff --git a/frontend/src/store/chat.ts b/frontend/src/store/chat.ts
index 5c40628f..d346df58 100644
--- a/frontend/src/store/chat.ts
+++ b/frontend/src/store/chat.ts
@@ -1,4 +1,5 @@
 import { create } from 'zustand'
+import { ANALYSIS_TEXT, analysisMethodLabel, analysisToolOp } from '../lib/termsAnalysis'
 import { ApiError, api, streamRun } from '../api/client'
 import { streamChatTurn, type ChatTurnEvent, type ChatTurnStart } from '../api/chatTurns'
 import type { CopilotOp, FixKind, RunFinal } from '../run/decode'
@@ -1649,9 +1650,12 @@ function watch(flow: Flow, runId: string, after = 0): () => void {
     switch (event.type) {
       case 'tool.start': {
         const tool = String(d.tool ?? '')
+        // 分析工具写算子的叫法（契约的叫法，lib/termsAnalysis），不写 analysis_decompose
+        const op = analysisToolOp(tool)
         patch((t) => (t.phase !== 'running' ? {} : {
           status: tool.startsWith('db_query') ? '正在查询数据…'
             : tool.startsWith('db_schema') ? '正在读取数据结构…'
+            : op ? ANALYSIS_TEXT.step.running(analysisMethodLabel(op, d.args?.mode))
             : tool ? `正在调用 ${tool}…` : '正在运行…',
         }))
         break
diff --git a/scripts/check-decode.mjs b/scripts/check-decode.mjs
index fd390a94..d17f8fc0 100644
--- a/scripts/check-decode.mjs
+++ b/scripts/check-decode.mjs
@@ -112,6 +112,68 @@ await section('知识检索', async () => {
   check('未知事件的类型名不上标题和副标题', !unknown.some((x) => x.title.includes('brand.new') || x.sub?.includes('brand.new')))
 })
 
+await section('分析：Agent 的分析工具、分析卡的每一项', async () => {
+  // 真跑出来的两次运行（fixtures.analysis_agent / analysis_card：后端测试库里的虚构零售库 shop，模型换成脚本）。Agent 查两次库、
+  // 写错一次变化拆解（列不存在）、做变化拆解、波动基线（两周历史不够，算不了）、可比性检查；分析卡两项。判定语、编号都是服务端
+  // 给的（tool.end 的 analysis、analysis.end），preview 只是结论 JSON 的前一截，不拿来拼
+  const all = flatten(mod.decodeRun(fixtures.analysis_agent, { status: 'succeeded' }))
+  const rows = all.filter((s) => s.kind === 'analysis')
+  check('四次分析调用各一行（kind analysis），挂在 Agent 节点下', rows.length === 4 && rows.every((s) => s.nodeId === 'bot'),
+    rows.map((s) => s.title).join(' | '))
+  const [wrong, decompose, baseline, comparable] = rows
+  check('标题写算子的叫法（契约），不写 analysis_decompose', rows.every((s) => !s.title.includes('analysis_')) && wrong?.title === '变化拆解（可加）',
+    wrong?.title)
+  check('写错的调用：这一次没成、副标题说没有记成结论，下一步写 Agent 会照着改', wrong?.status === 'failed'
+    && wrong.sub === '调用有误，没有记成结论' && !!wrong.next?.includes('Agent 会按这条说明改正参数'), `${wrong?.status} ${wrong?.sub}`)
+  check('……服务端的原话留在展开区，调用错误的代码记在这一行', !!wrong?.result?.includes('Q2 里没有「sales」这一列')
+    && wrong.analysis?.callError === 'unknown_column', wrong?.result)
+  check('做成的：标题接上本节点的编号（A1，和交回模型的「【分析 A1】」同一个）', decompose?.title === '变化拆解（可加） · A1', decompose?.title)
+  check('……副标题是服务端渲染的判定语', decompose?.sub === '销售额下降 340（-12.6%），主要来自华东（-300，占 88.2%）', decompose?.sub)
+  check('……结论工件可下钻，Agent 写的假设另记、不进参数', !!decompose?.artifact && decompose.analysis?.hypothesis === '下降是不是集中在某个地区'
+    && !decompose.detail?.includes('hypothesis') && !decompose.detail?.includes('null'), decompose?.detail?.slice(0, 80))
+  check('……preview（结论 JSON 的前一截）不摆出来', !decompose?.result, decompose?.result?.slice(0, 40))
+  check('算不了的：一条结论（不是失败），提醒色，判定语就是「…没有做成：原因」', baseline?.status === 'done' && baseline.level === 'warn'
+    && baseline.title === '波动基线 · A2' && baseline.sub === '波动基线没有做成：只有 0 期历史，至少要 8 期', `${baseline?.title} ${baseline?.sub}`)
+  check('……下一步说能照实写原因、不能据此下判断', !!baseline?.next?.includes('算不了也是一条结论'))
+  check('……紧跟着的「没有做成」提醒折进这一行，不另起一行', !all.some((s) => s.code === 'analysis_refused'),
+    all.filter((s) => s.code === 'analysis_refused').map((s) => s.title).join(' | '))
+  check('可比性检查也有编号和判定语', comparable?.title === '可比性检查 · A3' && !!comparable.sub?.startsWith('两期可比'), comparable?.title)
+  check('分析那几行是正常的子步骤：不当成运行出错（运行照样完成）', all.some((s) => s.kind === 'lifecycle' && s.title === '完成'))
+  const claims = all.find((s) => s.code === 'report_analysis_claims')
+  check('报告的分析说法重写后仍有：说成人话（几处、已在报告中标注），副标题点名判断词', claims?.title === '报告有 3 处分析说法未通过核对，已在报告中标注'
+    && claims.sub === '「主要来自」、「异常」、「由于」' && !!claims.next?.includes('判断要挂对应的分析结论'), `${claims?.title} ${claims?.sub}`)
+
+  // 老服务端：tool.end 没有 analysis 那一小段。只照参数写叫法，不编号、不从 preview 里拼判定语
+  const legacy = fixtures.analysis_agent.map((e) => (e.type === 'tool.end' && e.data?.analysis
+    ? { ...e, data: Object.fromEntries(Object.entries(e.data).filter(([k]) => k !== 'analysis')) } : e))
+  const old = flatten(mod.decodeRun(legacy, { status: 'succeeded' })).filter((s) => s.kind === 'analysis')
+  check('老服务端：照参数写叫法，没有编号和判定语，也不摆 preview', old[1]?.title === '变化拆解（可加）' && !old[1].sub && !old[1].result,
+    `${old[1]?.title} ${old[1]?.sub ?? ''}`)
+  // 老事件里「没有做成」的提醒找不到那一行时照结构化字段说
+  const lone = flatten(mod.decodeRun([
+    { seq: 1, type: 'node.started', node_id: 'bot', ts: 1, data: { node_type: 'agent', label: '问数据' } },
+    { seq: 2, type: 'log', node_id: 'bot', ts: 2, data: { level: 'warn', code: 'analysis_refused', tool: 'analysis_trend', call_id: 'x9',
+      reason_code: 'history_short', reason: '只有 3 期历史，至少要 6 期', message: 'analysis_trend 没有做成：只有 3 期历史，至少要 6 期' } },
+  ])).find((s) => s.code === 'analysis_refused')
+  check('……那一行不在时：照结构化字段说哪一种分析没有做成、原因', lone?.title === '趋势判断没有做成' && lone.sub === '只有 3 期历史，至少要 6 期',
+    `${lone?.title} ${lone?.sub}`)
+
+  // 分析卡：每项一行（analysis.end），标题写算子的叫法和这一项的标识
+  const card = flatten(mod.decodeRun(fixtures.analysis_card, { status: 'succeeded' }))
+  const items = card.filter((s) => s.kind === 'analysis')
+  check('分析卡的两项各一行，挂在分析卡下', items.length === 2 && items.every((s) => s.nodeId === 'card'), items.map((s) => s.title).join(' | '))
+  check('……标题写叫法和标识，副标题是判定语', items[0]?.title === '波动基线 · wow' && items[1]?.title === '变化拆解（可加） · where'
+    && items[1].sub === '销售额下降 340（-12.6%），主要来自华东（-300，占 88.2%）', items.map((s) => `${s.title}：${s.sub}`).join(' | '))
+  check('……算不了的那一项提醒色，结论工件可下钻', items[0]?.level === 'warn' && !!items[0].artifact && !!items[1]?.artifact)
+  check('……analysis.end 不再落成「未识别的事件」，紧跟着的提醒也不另起一行', !card.some((s) => s.title === '未识别的事件')
+    && !card.some((s) => s.code === 'analysis_refused'))
+
+  // 协作成员的分析：编号是成员自己的，副标题接着写是谁调用的
+  const team = flatten(mod.decodeRun(synthetic.analysisTeamRun(), { status: 'succeeded' })).filter((s) => s.kind === 'analysis')
+  check('协作成员调分析工具：编号是成员自己的，副标题写判定语和谁调用的', team[0]?.title === '变化拆解（可加） · A1'
+    && team[0].sub === `${synthetic.TEAM_PHRASE} · 分析员 调用` && team[1]?.title === '波动基线 · A2', team.map((s) => `${s.title}：${s.sub}`).join(' | '))
+})
+
 await section('合并查询', async () => {
   // merge.end 是合并查询节点做完的那一条：哪几个输入、合并 SQL、几行。和查询同一类（kind query），
   // 合并 SQL 进详情、预览进结果、工件可下钻；警告的原文由紧跟着的 log 各占一行，这一行只说有几条
diff --git a/scripts/check-stream.mjs b/scripts/check-stream.mjs
index 0bd005f2..cd4fcb0e 100644
--- a/scripts/check-stream.mjs
+++ b/scripts/check-stream.mjs
@@ -25,7 +25,10 @@ const check = (name, cond, detail = '') => {
  * 一节一节地跑：某一节里元素找不到、等待超时，只记成这一节失败，接着跑下一节，
  * 不让一处卡住把后面的检查一起吞掉。各节自己开页面
  */
+// STREAM_ONLY=分析,出具横幅 只跑段名里含这些字的段（逗号分隔），改一处时不用整本跑；check-all 不会把它传下来
+const ONLY = (process.env.STREAM_ONLY ?? '').split(',').filter(Boolean)
 async function section(name, fn) {
+  if (ONLY.length && !ONLY.some((k) => name.includes(k))) return
   console.log(`\n=== ${name} ===`)
   try {
     await fn()
@@ -735,6 +738,84 @@ await section('合并查询：输入、合并 SQL、结果预览，警告各占
   await narrow.page.close()
 })
 
+await section('分析：Agent 的分析工具、分析卡的每一项一行，判定语在副标题，展开看判定语、假设和参数；算不了、调用有误照实说', async () => {
+  // 用例 analysis（dev/fixtures/analysis.tsx）：两轮真跑出来的事件（fixtures.json 的 analysis_agent、analysis_card）
+  const { page, errors } = await open('syn=analysis', { w: 1100, h: 1000, name: 'analysis' })
+  const rows = page.locator('[data-step-kind="analysis"]')
+  await rows.first().waitFor({ timeout: 8000 }).catch(() => {})
+  // 没成的那一行图标位上是失败的标记（同别的步骤），其余五行是分析的图标
+  check('六行分析（Agent 四次调用、分析卡两项），没成的那行之外都是分析的图标', await rows.count() === 6
+    && await page.locator('[data-step-kind="analysis"]:not([data-step-status="failed"]) svg.lucide-chart-column-stacked').count() === 5,
+    String(await rows.count()))
+  const line = async (i) => (await rows.nth(i).innerText().catch(() => '')).replace(/\s+/g, ' ')
+  check('做成的一行：标题写算子的叫法和编号，副标题是判定语', (await line(1)).includes('变化拆解（可加） · A1')
+    && (await line(1)).includes('主要来自华东（-300，占 88.2%）'), await line(1))
+  check('……标题里不出现工具名 analysis_decompose', !(await page.locator('[data-turn]').first().innerText()).includes('analysis_decompose'))
+  await rows.nth(1).locator('button').first().click()
+  await page.waitForTimeout(200)
+  const open1 = rows.nth(1)
+  check('展开：判定语完整写出、Agent 写的假设另列', (await open1.locator('[data-step-analysis-phrase]').innerText().catch(() => ''))
+    .startsWith('销售额下降 340') && (await open1.locator('[data-step-analysis-hypothesis]').innerText().catch(() => '')) === '下降是不是集中在某个地区')
+  check('……参数（没填的不列）、结论工件可点开', (await open1.innerText()).includes('参数') && !(await open1.innerText()).includes('null')
+    && await open1.getByText(/查看完整证据/).count() === 1)
+  const wrong = rows.nth(0)
+  check('调用有误：这一次没成，副标题写没有记成结论，下一步写在行下面', (await wrong.getAttribute('data-step-status')) === 'failed'
+    && (await line(0)).includes('调用有误，没有记成结论')
+    && (await wrong.locator('[data-step-next]').innerText().catch(() => '')).includes('Agent 会按这条说明改正参数'), await line(0))
+  await wrong.locator('button').first().click()
+  await page.waitForTimeout(150)
+  check('……展开看服务端的原话', (await wrong.innerText()).includes('Q2 里没有「sales」这一列'))
+  const refused = rows.nth(2)
+  check('算不了：提醒色（不是失败），判定语就是原因，下一步说照实写原因', (await refused.getAttribute('data-step-status')) === 'done'
+    && (await line(2)).includes('波动基线没有做成：只有 0 期历史，至少要 8 期')
+    && (await refused.locator('[data-step-next]').innerText().catch(() => '')).includes('算不了也是一条结论'), await line(2))
+  const card = await line(5)
+  check('分析卡的一项：标题写叫法和这一项的标识，副标题是判定语', card.includes('变化拆解（可加） · where') && card.includes('主要来自华东'), card)
+  const body = await page.locator('body').innerText()
+  check('没有「未识别的事件」，「没有做成」的提醒不另起一行', !body.includes('未识别的事件') && !body.includes('analysis_baseline 没有做成'))
+  check('报告的分析说法：一行说几处、已标注，下一步写怎么改', body.includes('报告有 3 处分析说法未通过核对，已在报告中标注'))
+  const banner = page.locator('[data-issuance-banner]').first()
+  const claims = (await banner.locator('[data-issuance-analysis-claims]').innerText().catch(() => '')).replace(/\s+/g, ' ')
+  check('出具横幅：check 的分析说法单列一块，写不影响档位，三处各一条（种类的叫法同审计）', claims.includes('3 处分析说法未通过核对（已标注，不影响出具档位）')
+    && claims.includes('「主要来自」') && claims.includes('判断与分析结论不符') && claims.includes('因果说法没有依据'), claims)
+  check('没有运行时报错', errors.length === 0, errors.join(' | '))
+  await page.close()
+
+  const narrow = await open('syn=analysis&dense=1', { w: 380, h: 900 })
+  await narrow.page.locator('[data-step-kind="analysis"] button').nth(1).click()
+  await narrow.page.waitForTimeout(200)
+  const overflow = await narrow.page.evaluate(() => document.documentElement.scrollWidth - document.documentElement.clientWidth)
+  check('窄栏展开分析那一行：判定语、参数都不撑出横向滚动', overflow <= 0, `${overflow}px`)
+  await narrow.page.close()
+
+  const team = await open('syn=analysis-team', { w: 1100, h: 900 })
+  const tl = (await team.page.locator('[data-step-kind="analysis"]').first().innerText().catch(() => '')).replace(/\s+/g, ' ')
+  check('协作成员的分析：编号是成员自己的，副标题接着写是谁调用的', tl.includes('变化拆解（可加） · A1') && tl.includes('分析员 调用'), tl)
+  await team.page.close()
+})
+
+await section('出具横幅：分析说法（strict 记缺口）、指标的两期可比性、追不到原始数据的指标各列一块', async () => {
+  for (const [w, label] of [[1100, '宽栏'], [390, '390px']]) {
+    const { page, errors } = await open('syn=analysis-issued', { w, h: 900, name: w === 1100 ? 'analysis-issued' : undefined })
+    const banner = page.locator('[data-issuance-banner=degraded]')
+    await banner.waitFor({ timeout: 8000 }).catch(() => {})
+    const claims = (await banner.locator('[data-issuance-analysis-claims="counted"]').innerText().catch(() => '')).replace(/\s+/g, ' ')
+    check(`${label}：strict 的分析说法写「已计入出具缺口」，原话照服务端`, claims.includes('1 处分析说法未通过核对，已计入出具缺口')
+      && claims.includes('「主要来自华南」与所挂的分析结论 A1 对不上'), claims)
+    const comp = (await banner.locator('[data-issuance-comparability]').innerText().catch(() => '')).replace(/\s+/g, ' ')
+    check(`${label}：指标的两期可比性一条一个，判定语和原因照服务端`, comp.includes('指标的两期可比性')
+      && comp.includes('指标「环比」：两期不可比') && comp.includes('指标「月环比」：两期有条件可比')
+      && await banner.locator('[data-issuance-comparability-item]').count() === 2, comp)
+    const untraced = (await banner.locator('[data-issuance-untraced="counted"]').innerText().catch(() => '')).replace(/\s+/g, ' ')
+    check(`${label}：追不到原始数据的指标写追到哪为止、已计入缺口`, untraced.includes('报告引用的指标未追到原始数据（已计入出具缺口）')
+      && untraced.includes('指标「客单价」') && untraced.includes('vars.aov 的出处追到「estimate」为止'), untraced)
+    const over = await page.evaluate(() => document.documentElement.scrollWidth - document.documentElement.clientWidth)
+    check(`${label}：页面不横向溢出`, over <= 0, `${over}px`)
+    check(`${label}：没有运行时报错`, errors.length === 0, errors.join(' | '))
+    await page.close()
+  }
+})
+
 await section('并行查询各配各的；查询的 SQL 检查；指标的问题指到来源查询的 SQL（A1、B2）', async () => {
   const { page, errors } = await open('syn=parallel&link=1', { w: 1100, h: 900, name: 'parallel' })
   const qa = page.locator('[data-node-id="q_a"]').filter({ hasText: 'SQL 检查：1 处错误' }).last()