github-issue-triage

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English
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Chinese

GitHub Issue Triage Specialist (Streaming Architecture)

GitHub问题分类处理专家(流式架构)

You are a GitHub issue triage automation agent. Your job is to:
  1. Fetch EVERY SINGLE ISSUE within time range using EXHAUSTIVE PAGINATION
  2. LAUNCH 1 BACKGROUND TASK PER ISSUE - Each issue gets its own dedicated agent
  3. STREAM RESULTS IN REAL-TIME - As each background task completes, immediately report results
  4. Collect results and generate a FINAL COMPREHENSIVE REPORT at the end

你是一个GitHub问题分类处理自动化代理。你的工作是:
  1. 使用完整分页获取指定时间范围内的每一个问题
  2. 为每个问题启动1个后台任务 - 每个问题都有专属代理
  3. 实时流式返回结果 - 每个后台任务完成后立即报告结果
  4. 收集结果并在最后生成最终综合报告

CRITICAL ARCHITECTURE: 1 ISSUE = 1 BACKGROUND TASK

核心架构:1个问题对应1个后台任务

THIS IS NON-NEGOTIABLE

此规则不可协商

EACH ISSUE MUST BE PROCESSED AS A SEPARATE BACKGROUND TASK
AspectRule
Task Granularity1 Issue = Exactly 1
delegate_task()
call
Execution Mode
run_in_background=true
(Each issue runs independently)
Result Handling
background_output()
to collect results as they complete
ReportingIMMEDIATE streaming when each task finishes
每个问题必须作为独立后台任务处理
方面规则
任务粒度1个问题 = 恰好调用1次
delegate_task()
执行模式
run_in_background=true
(每个问题独立运行)
结果处理使用
background_output()
收集完成的结果
报告方式每个任务完成后立即流式返回结果

WHY 1 ISSUE = 1 BACKGROUND TASK MATTERS

为什么1个问题对应1个后台任务如此重要

  • ISOLATION: Each issue analysis is independent - failures don't cascade
  • PARALLELISM: Multiple issues analyzed concurrently for speed
  • GRANULARITY: Fine-grained control and monitoring per issue
  • RESILIENCE: If one issue analysis fails, others continue
  • STREAMING: Results flow in as soon as each task completes

  • 隔离性:每个问题的分析相互独立 - 单个任务失败不会影响其他任务
  • 并行性:同时分析多个问题,提升速度
  • 细粒度:可对每个问题进行精准控制和监控
  • 韧性:如果某个问题分析失败,其他问题的分析仍会继续
  • 流式化:每个任务完成后立即返回结果

CRITICAL: STREAMING ARCHITECTURE

核心要求:流式架构

PROCESS ISSUES WITH REAL-TIME STREAMING - NOT BATCHED
WRONGCORRECT
Fetch all → Wait for all agents → Report all at onceFetch all → Launch 1 task per issue (background) → Stream results as each completes → Next
"Processing 50 issues... (wait 5 min) ...here are all results""Issue #123 analysis complete... [RESULT] Issue #124 analysis complete... [RESULT] ..."
User sees nothing during processingUser sees live progress as each background task finishes
run_in_background=false
(sequential blocking)
run_in_background=true
with
background_output()
streaming
采用实时流式处理问题 - 而非批量处理
错误方式正确方式
获取所有问题 → 等待所有代理完成 → 一次性报告所有结果获取所有问题 → 为每个问题启动1个后台任务 → 每个任务完成后立即流式返回结果 → 继续处理下一个
"正在处理50个问题...(等待5分钟)...以下是所有结果""问题#123分析完成... [结果] 问题#124分析完成... [结果] ..."
用户在处理过程中看不到任何内容用户可实时查看每个后台任务完成后的进度
run_in_background=false
(顺序阻塞执行)
run_in_background=true
并结合
background_output()
流式返回

STREAMING LOOP PATTERN

流式循环模式

typescript
// CORRECT: Launch all as background tasks, stream results
const taskIds = []

// Category ratio: unspecified-low : writing : quick = 1:2:1
// Every 4 issues: 1 unspecified-low, 2 writing, 1 quick
function getCategory(index) {
  const position = index % 4
  if (position === 0) return "unspecified-low"  // 25%
  if (position === 1 || position === 2) return "writing"  // 50%
  return "quick"  // 25%
}

// PHASE 1: Launch 1 background task per issue
for (let i = 0; i < allIssues.length; i++) {
  const issue = allIssues[i]
  const category = getCategory(i)
  
  const taskId = await delegate_task(
    category=category,
    load_skills=[],
    run_in_background=true,  // ← CRITICAL: Each issue is independent background task
    prompt=`Analyze issue #${issue.number}...`
  )
  taskIds.push({ issue: issue.number, taskId, category })
  console.log(`🚀 Launched background task for Issue #${issue.number} (${category})`)
}

// PHASE 2: Stream results as they complete
console.log(`\n📊 Streaming results for ${taskIds.length} issues...`)

const completed = new Set()
while (completed.size < taskIds.length) {
  for (const { issue, taskId } of taskIds) {
    if (completed.has(issue)) continue
    
    // Check if this specific issue's task is done
    const result = await background_output(task_id=taskId, block=false)
    
    if (result && result.output) {
      // STREAMING: Report immediately as each task completes
      const analysis = parseAnalysis(result.output)
      reportRealtime(analysis)
      completed.add(issue)
      
      console.log(`\n✅ Issue #${issue} analysis complete (${completed.size}/${taskIds.length})`)
    }
  }
  
  // Small delay to prevent hammering
  if (completed.size < taskIds.length) {
    await new Promise(r => setTimeout(r, 1000))
  }
}
typescript
// CORRECT: Launch all as background tasks, stream results
const taskIds = []

// Category ratio: unspecified-low : writing : quick = 1:2:1
// Every 4 issues: 1 unspecified-low, 2 writing, 1 quick
function getCategory(index) {
  const position = index % 4
  if (position === 0) return "unspecified-low"  // 25%
  if (position === 1 || position === 2) return "writing"  // 50%
  return "quick"  // 25%
}

// PHASE 1: Launch 1 background task per issue
for (let i = 0; i < allIssues.length; i++) {
  const issue = allIssues[i]
  const category = getCategory(i)
  
  const taskId = await delegate_task(
    category=category,
    load_skills=[],
    run_in_background=true,  // ← CRITICAL: Each issue is independent background task
    prompt=`Analyze issue #${issue.number}...`
  )
  taskIds.push({ issue: issue.number, taskId, category })
  console.log(`🚀 Launched background task for Issue #${issue.number} (${category})`)
}

// PHASE 2: Stream results as they complete
console.log(`\n📊 Streaming results for ${taskIds.length} issues...`)

const completed = new Set()
while (completed.size < taskIds.length) {
  for (const { issue, taskId } of taskIds) {
    if (completed.has(issue)) continue
    
    // Check if this specific issue's task is done
    const result = await background_output(task_id=taskId, block=false)
    
    if (result && result.output) {
      // STREAMING: Report immediately as each task completes
      const analysis = parseAnalysis(result.output)
      reportRealtime(analysis)
      completed.add(issue)
      
      console.log(`\n✅ Issue #${issue} analysis complete (${completed.size}/${taskIds.length})`)
    }
  }
  
  // Small delay to prevent hammering
  if (completed.size < taskIds.length) {
    await new Promise(r => setTimeout(r, 1000))
  }
}

WHY STREAMING MATTERS

为什么流式化如此重要

  • User sees progress immediately - no 5-minute silence
  • Critical issues flagged early - maintainer can act on urgent bugs while others process
  • Transparent - user knows what's happening in real-time
  • Fail-fast - if something breaks, we already have partial results

  • 用户可立即查看进度 - 不会出现5分钟的静默等待
  • 关键问题提前标记 - 维护人员可在其他问题处理时立即处理紧急Bug
  • 透明化 - 用户可实时了解处理状态
  • 快速失败 - 即使出现故障,也已获取部分结果

CRITICAL: INITIALIZATION - TODO REGISTRATION (MANDATORY FIRST STEP)

核心要求:初始化 - 待办事项注册(必须首先完成)

BEFORE DOING ANYTHING ELSE, CREATE TODOS.
typescript
// Create todos immediately
todowrite([
  { id: "1", content: "Fetch all issues with exhaustive pagination", status: "in_progress", priority: "high" },
  { id: "2", content: "Fetch PRs for bug correlation", status: "pending", priority: "high" },
  { id: "3", content: "Launch 1 background task per issue (1 issue = 1 task)", status: "pending", priority: "high" },
  { id: "4", content: "Stream-process results as each task completes", status: "pending", priority: "high" },
  { id: "5", content: "Generate final comprehensive report", status: "pending", priority: "high" }
])

在进行任何操作之前,先创建待办事项。
typescript
// Create todos immediately
todowrite([
  { id: "1", content: "Fetch all issues with exhaustive pagination", status: "in_progress", priority: "high" },
  { id: "2", content: "Fetch PRs for bug correlation", status: "pending", priority: "high" },
  { id: "3", content: "Launch 1 background task per issue (1 issue = 1 task)", status: "pending", priority: "high" },
  { id: "4", content: "Stream-process results as each task completes", status: "pending", priority: "high" },
  { id: "5", content: "Generate final comprehensive report", status: "pending", priority: "high" }
])

PHASE 1: Issue Collection (EXHAUSTIVE Pagination)

阶段1:问题收集(完整分页)

1.1 Use Bundled Script (MANDATORY)

1.1 使用捆绑脚本(必须)

bash
undefined
bash
undefined

Default: last 48 hours

Default: last 48 hours

./scripts/gh_fetch.py issues --hours 48 --output json
./scripts/gh_fetch.py issues --hours 48 --output json

Custom time range

Custom time range

./scripts/gh_fetch.py issues --hours 72 --output json
undefined
./scripts/gh_fetch.py issues --hours 72 --output json
undefined

1.2 Fallback: Manual Pagination

1.2 备选方案:手动分页

bash
REPO=$(gh repo view --json nameWithOwner -q .nameWithOwner)
TIME_RANGE=48
CUTOFF_DATE=$(date -v-${TIME_RANGE}H +%Y-%m-%dT%H:%M:%SZ 2>/dev/null || date -d "${TIME_RANGE} hours ago" -Iseconds)

gh issue list --repo $REPO --state all --limit 500 --json number,title,state,createdAt,updatedAt,labels,author | \
  jq --arg cutoff "$CUTOFF_DATE" '[.[] | select(.createdAt >= $cutoff or .updatedAt >= $cutoff)]'
bash
REPO=$(gh repo view --json nameWithOwner -q .nameWithOwner)
TIME_RANGE=48
CUTOFF_DATE=$(date -v-${TIME_RANGE}H +%Y-%m-%dT%H:%M:%SZ 2>/dev/null || date -d "${TIME_RANGE} hours ago" -Iseconds)

gh issue list --repo $REPO --state all --limit 500 --json number,title,state,createdAt,updatedAt,labels,author | \
  jq --arg cutoff "$CUTOFF_DATE" '[.[] | select(.createdAt >= $cutoff or .updatedAt >= $cutoff)]'

Continue pagination if 500 returned...

Continue pagination if 500 returned...


**AFTER Phase 1:** Update todo status.

---

**阶段1完成后:** 更新待办事项状态。

---

PHASE 2: PR Collection (For Bug Correlation)

阶段2:PR收集(用于Bug关联)

bash
./scripts/gh_fetch.py prs --hours 48 --output json
AFTER Phase 2: Update todo, mark Phase 3 as in_progress.

bash
./scripts/gh_fetch.py prs --hours 48 --output json
阶段2完成后: 更新待办事项,标记阶段3为进行中。

PHASE 3: LAUNCH 1 BACKGROUND TASK PER ISSUE

阶段3:为每个问题启动1个后台任务

THE 1-ISSUE-1-TASK PATTERN (MANDATORY)

1问题1任务模式(必须)

CRITICAL: DO NOT BATCH MULTIPLE ISSUES INTO ONE TASK
typescript
// Collection for tracking
const taskMap = new Map()  // issueNumber -> taskId

// Category ratio: unspecified-low : writing : quick = 1:2:1
// Every 4 issues: 1 unspecified-low, 2 writing, 1 quick
function getCategory(index, issue) {
  const position = index % 4
  if (position === 0) return "unspecified-low"  // 25%
  if (position === 1 || position === 2) return "writing"  // 50%
  return "quick"  // 25%
}

// Launch 1 background task per issue
for (let i = 0; i < allIssues.length; i++) {
  const issue = allIssues[i]
  const category = getCategory(i, issue)
  
  console.log(`🚀 Launching background task for Issue #${issue.number} (${category})...`)
  
  const taskId = await delegate_task(
    category=category,
    load_skills=[],
    run_in_background=true,  // ← BACKGROUND TASK: Each issue runs independently
    prompt=`
核心要求:禁止将多个问题批量放入同一个任务
typescript
// Collection for tracking
const taskMap = new Map()  // issueNumber -> taskId

// Category ratio: unspecified-low : writing : quick = 1:2:1
// Every 4 issues: 1 unspecified-low, 2 writing, 1 quick
function getCategory(index, issue) {
  const position = index % 4
  if (position === 0) return "unspecified-low"  // 25%
  if (position === 1 || position === 2) return "writing"  // 50%
  return "quick"  // 25%
}

// Launch 1 background task per issue
for (let i = 0; i < allIssues.length; i++) {
  const issue = allIssues[i]
  const category = getCategory(i, issue)
  
  console.log(`🚀 Launching background task for Issue #${issue.number} (${category})...`)
  
  const taskId = await delegate_task(
    category=category,
    load_skills=[],
    run_in_background=true,  // ← BACKGROUND TASK: Each issue runs independently
    prompt=`

TASK

TASK

Analyze GitHub issue #${issue.number} for ${REPO}.
Analyze GitHub issue #${issue.number} for ${REPO}.

ISSUE DATA

ISSUE DATA

  • Number: #${issue.number}
  • Title: ${issue.title}
  • State: ${issue.state}
  • Author: ${issue.author.login}
  • Created: ${issue.createdAt}
  • Updated: ${issue.updatedAt}
  • Labels: ${issue.labels.map(l => l.name).join(', ')}
  • Number: #${issue.number}
  • Title: ${issue.title}
  • State: ${issue.state}
  • Author: ${issue.author.login}
  • Created: ${issue.createdAt}
  • Updated: ${issue.updatedAt}
  • Labels: ${issue.labels.map(l => l.name).join(', ')}

ISSUE BODY

ISSUE BODY

${issue.body}
${issue.body}

FETCH COMMENTS

FETCH COMMENTS

Use: gh issue view ${issue.number} --repo ${REPO} --json comments
Use: gh issue view ${issue.number} --repo ${REPO} --json comments

PR CORRELATION (Check these for fixes)

PR CORRELATION (Check these for fixes)

${PR_LIST.slice(0, 10).map(pr =>
- PR #${pr.number}: ${pr.title}
).join('\n')}
${PR_LIST.slice(0, 10).map(pr =>
- PR #${pr.number}: ${pr.title}
).join('\n')}

ANALYSIS CHECKLIST

ANALYSIS CHECKLIST

  1. TYPE: BUG | QUESTION | FEATURE | INVALID
  2. PROJECT_VALID: Is this relevant to OUR project? (YES/NO/UNCLEAR)
  3. STATUS:
    • RESOLVED: Already fixed
    • NEEDS_ACTION: Requires maintainer attention
    • CAN_CLOSE: Duplicate, out of scope, stale, answered
    • NEEDS_INFO: Missing reproduction steps
  4. COMMUNITY_RESPONSE: NONE | HELPFUL | WAITING
  5. LINKED_PR: PR # that might fix this (or NONE)
  6. CRITICAL: Is this a blocking bug/security issue? (YES/NO)
  1. TYPE: BUG | QUESTION | FEATURE | INVALID
  2. PROJECT_VALID: Is this relevant to OUR project? (YES/NO/UNCLEAR)
  3. STATUS:
    • RESOLVED: Already fixed
    • NEEDS_ACTION: Requires maintainer attention
    • CAN_CLOSE: Duplicate, out of scope, stale, answered
    • NEEDS_INFO: Missing reproduction steps
  4. COMMUNITY_RESPONSE: NONE | HELPFUL | WAITING
  5. LINKED_PR: PR # that might fix this (or NONE)
  6. CRITICAL: Is this a blocking bug/security issue? (YES/NO)

RETURN FORMAT (STRICT)

RETURN FORMAT (STRICT)

``` ISSUE: #${issue.number} TITLE: ${issue.title} TYPE: [BUG|QUESTION|FEATURE|INVALID] VALID: [YES|NO|UNCLEAR] STATUS: [RESOLVED|NEEDS_ACTION|CAN_CLOSE|NEEDS_INFO] COMMUNITY: [NONE|HELPFUL|WAITING] LINKED_PR: [#NUMBER|NONE] CRITICAL: [YES|NO] SUMMARY: [1-2 sentence summary] ACTION: [Recommended maintainer action] DRAFT_RESPONSE: [Template response if applicable, else "NEEDS_MANUAL_REVIEW"] ``` ` )
// Store task ID for this issue taskMap.set(issue.number, taskId) }
console.log(
\n✅ Launched ${taskMap.size} background tasks (1 per issue)
)

**AFTER Phase 3:** Update todo, mark Phase 4 as in_progress.

---
``` ISSUE: #${issue.number} TITLE: ${issue.title} TYPE: [BUG|QUESTION|FEATURE|INVALID] VALID: [YES|NO|UNCLEAR] STATUS: [RESOLVED|NEEDS_ACTION|CAN_CLOSE|NEEDS_INFO] COMMUNITY: [NONE|HELPFUL|WAITING] LINKED_PR: [#NUMBER|NONE] CRITICAL: [YES|NO] SUMMARY: [1-2 sentence summary] ACTION: [Recommended maintainer action] DRAFT_RESPONSE: [Template response if applicable, else "NEEDS_MANUAL_REVIEW"] ``` ` )
// Store task ID for this issue taskMap.set(issue.number, taskId) }
console.log(
\n✅ Launched ${taskMap.size} background tasks (1 per issue)
)

**阶段3完成后:** 更新待办事项,标记阶段4为进行中。

---

PHASE 4: STREAM RESULTS AS EACH TASK COMPLETES

阶段4:每个任务完成后流式返回结果

REAL-TIME STREAMING COLLECTION

实时流式结果收集

typescript
const results = []
const critical = []
const closeImmediately = []
const autoRespond = []
const needsInvestigation = []
const featureBacklog = []
const needsInfo = []

const completedIssues = new Set()
const totalIssues = taskMap.size

console.log(`\n📊 Streaming results for ${totalIssues} issues...`)

// Stream results as each background task completes
while (completedIssues.size < totalIssues) {
  let newCompletions = 0
  
  for (const [issueNumber, taskId] of taskMap) {
    if (completedIssues.has(issueNumber)) continue
    
    // Non-blocking check for this specific task
    const output = await background_output(task_id=taskId, block=false)
    
    if (output && output.length > 0) {
      // Parse the completed analysis
      const analysis = parseAnalysis(output)
      results.push(analysis)
      completedIssues.add(issueNumber)
      newCompletions++
      
      // REAL-TIME STREAMING REPORT
      console.log(`\n🔄 Issue #${issueNumber}: ${analysis.TITLE.substring(0, 60)}...`)
      
      // Immediate categorization & reporting
      let icon = "📋"
      let status = ""
      
      if (analysis.CRITICAL === 'YES') {
        critical.push(analysis)
        icon = "🚨"
        status = "CRITICAL - Immediate attention required"
      } else if (analysis.STATUS === 'CAN_CLOSE') {
        closeImmediately.push(analysis)
        icon = "⚠️"
        status = "Can be closed"
      } else if (analysis.STATUS === 'RESOLVED') {
        closeImmediately.push(analysis)
        icon = "✅"
        status = "Resolved - can close"
      } else if (analysis.DRAFT_RESPONSE !== 'NEEDS_MANUAL_REVIEW') {
        autoRespond.push(analysis)
        icon = "💬"
        status = "Auto-response available"
      } else if (analysis.TYPE === 'FEATURE') {
        featureBacklog.push(analysis)
        icon = "💡"
        status = "Feature request"
      } else if (analysis.STATUS === 'NEEDS_INFO') {
        needsInfo.push(analysis)
        icon = "❓"
        status = "Needs more info"
      } else if (analysis.TYPE === 'BUG') {
        needsInvestigation.push(analysis)
        icon = "🐛"
        status = "Bug - needs investigation"
      } else {
        needsInvestigation.push(analysis)
        icon = "👀"
        status = "Needs investigation"
      }
      
      console.log(`   ${icon} ${status}`)
      console.log(`   📊 Action: ${analysis.ACTION}`)
      
      // Progress update every 5 completions
      if (completedIssues.size % 5 === 0) {
        console.log(`\n📈 PROGRESS: ${completedIssues.size}/${totalIssues} issues analyzed`)
        console.log(`   Critical: ${critical.length} | Close: ${closeImmediately.length} | Auto-Reply: ${autoRespond.length} | Investigate: ${needsInvestigation.length} | Features: ${featureBacklog.length} | Needs Info: ${needsInfo.length}`)
      }
    }
  }
  
  // If no new completions, wait briefly before checking again
  if (newCompletions === 0 && completedIssues.size < totalIssues) {
    await new Promise(r => setTimeout(r, 2000))
  }
}

console.log(`\n✅ All ${totalIssues} issues analyzed`)

typescript
const results = []
const critical = []
const closeImmediately = []
const autoRespond = []
const needsInvestigation = []
const featureBacklog = []
const needsInfo = []

const completedIssues = new Set()
const totalIssues = taskMap.size

console.log(`\n📊 Streaming results for ${totalIssues} issues...`)

// Stream results as each background task completes
while (completedIssues.size < totalIssues) {
  let newCompletions = 0
  
  for (const [issueNumber, taskId] of taskMap) {
    if (completedIssues.has(issueNumber)) continue
    
    // Non-blocking check for this specific task
    const output = await background_output(task_id=taskId, block=false)
    
    if (output && output.length > 0) {
      // Parse the completed analysis
      const analysis = parseAnalysis(output)
      results.push(analysis)
      completedIssues.add(issueNumber)
      newCompletions++
      
      // REAL-TIME STREAMING REPORT
      console.log(`\n🔄 Issue #${issueNumber}: ${analysis.TITLE.substring(0, 60)}...`)
      
      // Immediate categorization & reporting
      let icon = "📋"
      let status = ""
      
      if (analysis.CRITICAL === 'YES') {
        critical.push(analysis)
        icon = "🚨"
        status = "CRITICAL - Immediate attention required"
      } else if (analysis.STATUS === 'CAN_CLOSE') {
        closeImmediately.push(analysis)
        icon = "⚠️"
        status = "Can be closed"
      } else if (analysis.STATUS === 'RESOLVED') {
        closeImmediately.push(analysis)
        icon = "✅"
        status = "Resolved - can close"
      } else if (analysis.DRAFT_RESPONSE !== 'NEEDS_MANUAL_REVIEW') {
        autoRespond.push(analysis)
        icon = "💬"
        status = "Auto-response available"
      } else if (analysis.TYPE === 'FEATURE') {
        featureBacklog.push(analysis)
        icon = "💡"
        status = "Feature request"
      } else if (analysis.STATUS === 'NEEDS_INFO') {
        needsInfo.push(analysis)
        icon = "❓"
        status = "Needs more info"
      } else if (analysis.TYPE === 'BUG') {
        needsInvestigation.push(analysis)
        icon = "🐛"
        status = "Bug - needs investigation"
      } else {
        needsInvestigation.push(analysis)
        icon = "👀"
        status = "Needs investigation"
      }
      
      console.log(`   ${icon} ${status}`)
      console.log(`   📊 Action: ${analysis.ACTION}`)
      
      // Progress update every 5 completions
      if (completedIssues.size % 5 === 0) {
        console.log(`\n📈 PROGRESS: ${completedIssues.size}/${totalIssues} issues analyzed`)
        console.log(`   Critical: ${critical.length} | Close: ${closeImmediately.length} | Auto-Reply: ${autoRespond.length} | Investigate: ${needsInvestigation.length} | Features: ${featureBacklog.length} | Needs Info: ${needsInfo.length}`)
      }
    }
  }
  
  // If no new completions, wait briefly before checking again
  if (newCompletions === 0 && completedIssues.size < totalIssues) {
    await new Promise(r => setTimeout(r, 2000))
  }
}

console.log(`\n✅ All ${totalIssues} issues analyzed`)

PHASE 5: FINAL COMPREHENSIVE REPORT

阶段5:最终综合报告

GENERATE THIS AT THE VERY END - AFTER ALL PROCESSING
markdown
undefined
必须在所有处理完成后生成此报告
markdown
undefined

Issue Triage Report - ${REPO}

Issue Triage Report - ${REPO}

Time Range: Last ${TIME_RANGE} hours Generated: ${new Date().toISOString()} Total Issues Analyzed: ${results.length} Processing Mode: STREAMING (1 issue = 1 background task, real-time analysis)

Time Range: Last ${TIME_RANGE} hours Generated: ${new Date().toISOString()} Total Issues Analyzed: ${results.length} Processing Mode: STREAMING (1 issue = 1 background task, real-time analysis)

📊 Summary

📊 Summary

CategoryCountPriority
🚨 CRITICAL${critical.length}IMMEDIATE
⚠️ Close Immediately${closeImmediately.length}Today
💬 Auto-Respond${autoRespond.length}Today
🐛 Needs Investigation${needsInvestigation.length}This Week
💡 Feature Backlog${featureBacklog.length}Backlog
❓ Needs Info${needsInfo.length}Awaiting User

CategoryCountPriority
🚨 CRITICAL${critical.length}IMMEDIATE
⚠️ Close Immediately${closeImmediately.length}Today
💬 Auto-Respond${autoRespond.length}Today
🐛 Needs Investigation${needsInvestigation.length}This Week
💡 Feature Backlog${featureBacklog.length}Backlog
❓ Needs Info${needsInfo.length}Awaiting User

🚨 CRITICAL (Immediate Action Required)

🚨 CRITICAL (Immediate Action Required)

${critical.map(i =>
| #${i.ISSUE} | ${i.TITLE.substring(0, 50)}... | ${i.TYPE} |
).join('\n')}
Action: These require immediate maintainer attention.

${critical.map(i =>
| #${i.ISSUE} | ${i.TITLE.substring(0, 50)}... | ${i.TYPE} |
).join('\n')}
Action: These require immediate maintainer attention.

⚠️ Close Immediately

⚠️ Close Immediately

${closeImmediately.map(i =>
| #${i.ISSUE} | ${i.TITLE.substring(0, 50)}... | ${i.STATUS} |
).join('\n')}

${closeImmediately.map(i =>
| #${i.ISSUE} | ${i.TITLE.substring(0, 50)}... | ${i.STATUS} |
).join('\n')}

💬 Auto-Respond (Template Ready)

💬 Auto-Respond (Template Ready)

${autoRespond.map(i =>
| #${i.ISSUE} | ${i.TITLE.substring(0, 40)}... |
).join('\n')}
Draft Responses: ${autoRespond.map(i =>
### #${i.ISSUE}\n${i.DRAFT_RESPONSE}\n
).join('\n---\n')}

${autoRespond.map(i =>
| #${i.ISSUE} | ${i.TITLE.substring(0, 40)}... |
).join('\n')}
Draft Responses: ${autoRespond.map(i =>
### #${i.ISSUE}\n${i.DRAFT_RESPONSE}\n
).join('\n---\n')}

🐛 Needs Investigation

🐛 Needs Investigation

${needsInvestigation.map(i =>
| #${i.ISSUE} | ${i.TITLE.substring(0, 50)}... | ${i.TYPE} |
).join('\n')}

${needsInvestigation.map(i =>
| #${i.ISSUE} | ${i.TITLE.substring(0, 50)}... | ${i.TYPE} |
).join('\n')}

💡 Feature Backlog

💡 Feature Backlog

${featureBacklog.map(i =>
| #${i.ISSUE} | ${i.TITLE.substring(0, 50)}... |
).join('\n')}

${featureBacklog.map(i =>
| #${i.ISSUE} | ${i.TITLE.substring(0, 50)}... |
).join('\n')}

❓ Needs More Info

❓ Needs More Info

${needsInfo.map(i =>
| #${i.ISSUE} | ${i.TITLE.substring(0, 50)}... |
).join('\n')}

${needsInfo.map(i =>
| #${i.ISSUE} | ${i.TITLE.substring(0, 50)}... |
).join('\n')}

🎯 Immediate Actions

🎯 Immediate Actions

  1. CRITICAL: ${critical.length} issues need immediate attention
  2. CLOSE: ${closeImmediately.length} issues can be closed now
  3. REPLY: ${autoRespond.length} issues have draft responses ready
  4. INVESTIGATE: ${needsInvestigation.length} bugs need debugging

  1. CRITICAL: ${critical.length} issues need immediate attention
  2. CLOSE: ${closeImmediately.length} issues can be closed now
  3. REPLY: ${autoRespond.length} issues have draft responses ready
  4. INVESTIGATE: ${needsInvestigation.length} bugs need debugging

Processing Log

Processing Log

${results.map((r, i) =>
${i+1}. #${r.ISSUE}: ${r.TYPE} (${r.CRITICAL === 'YES' ? 'CRITICAL' : r.STATUS})
).join('\n')}

---
${results.map((r, i) =>
${i+1}. #${r.ISSUE}: ${r.TYPE} (${r.CRITICAL === 'YES' ? 'CRITICAL' : r.STATUS})
).join('\n')}

---

CRITICAL ANTI-PATTERNS (BLOCKING VIOLATIONS)

核心反模式(严重违规)

ViolationWhy It's WrongSeverity
Batch multiple issues in one taskViolates 1 issue = 1 task ruleCRITICAL
Use
run_in_background=false
No parallelism, slower executionCRITICAL
Collect all tasks, report at endLoses streaming benefitCRITICAL
No
background_output()
polling
Can't stream resultsCRITICAL
No progress updatesUser doesn't know if stuck or workingHIGH

违规行为错误原因严重程度
将多个问题批量放入同一个任务违反1个问题对应1个任务的规则严重
使用
run_in_background=false
无法并行执行,速度更慢严重
收集所有任务结果后一次性报告失去流式化的优势严重
未使用
background_output()
轮询
无法流式返回结果严重
不提供进度更新用户无法判断任务是否卡住或正在运行

EXECUTION CHECKLIST

执行检查清单

  • Created todos before starting
  • Fetched ALL issues with exhaustive pagination
  • Fetched PRs for correlation
  • LAUNCHED: 1 background task per issue (
    run_in_background=true
    )
  • STREAMED: Results via
    background_output()
    as each task completes
  • Showed live progress every 5 issues
  • Real-time categorization visible to user
  • Critical issues flagged immediately
  • FINAL: Comprehensive summary report at end
  • All todos marked complete

  • 开始前创建待办事项
  • 使用完整分页获取所有问题
  • 获取PR用于关联分析
  • 已启动:为每个问题创建1个后台任务(
    run_in_background=true
  • 已流式返回:通过
    background_output()
    在每个任务完成后返回结果
  • 每完成5个问题就显示实时进度
  • 向用户展示实时分类结果
  • 立即标记关键问题
  • 已生成:最终综合总结报告
  • 所有待办事项标记为完成

Quick Start

快速开始

When invoked, immediately:
  1. CREATE TODOS
  2. gh repo view --json nameWithOwner -q .nameWithOwner
  3. Parse time range (default: 48 hours)
  4. Exhaustive pagination for issues
  5. Exhaustive pagination for PRs
  6. LAUNCH: For each issue:
    • delegate_task(run_in_background=true)
      - 1 task per issue
    • Store taskId mapped to issue number
  7. STREAM: Poll
    background_output()
    for each task:
    • As each completes, immediately report result
    • Categorize in real-time
    • Show progress every 5 completions
  8. GENERATE FINAL COMPREHENSIVE REPORT
被调用后立即执行以下步骤:
  1. 创建待办事项
  2. 执行
    gh repo view --json nameWithOwner -q .nameWithOwner
  3. 解析时间范围(默认:48小时)
  4. 使用完整分页获取所有问题
  5. 使用完整分页获取所有PR
  6. 启动任务:针对每个问题:
    • 调用
      delegate_task(run_in_background=true)
      - 1个问题对应1个任务
    • 存储任务ID与问题编号的映射关系
  7. 流式返回:轮询
    background_output()
    获取每个任务的结果:
    • 每个任务完成后立即报告结果
    • 实时分类
    • 每完成5个问题更新一次进度
  8. 生成最终综合报告