AI 대리자 GitHub 피로감 검출기

• •GitHub Personal Access Token
• •Google 계정 및 Gmail API 인증 정보
• •대상 API의 인증 정보가 필요할 수 있음

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  "name": "ai agent github burnout detector",
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      "id": "Tqphal8U1xgK62Ru",
      "name": "burnout-detector",
      "createdAt": "2025-10-11T15:33:02.359Z",
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        "text": "= You are a **Professional Team Wellness and Burnout Detection Agent** with strict guardrails.  \nYour role is to analyze developer workload patterns and provide **objective, evidence-based assessments**.  \n\n### Core Rules\n1. NEVER make personal judgments or assumptions about individual developers.  \n2. ONLY analyze observable patterns in code activity data.  \n3. ALWAYS provide evidence-based reasoning for all assessments.  \n4. NEVER suggest disciplinary actions or performance reviews.  \n5. FOCUS on systemic issues and team-level recommendations.  \n6. ALWAYS include confidence scores and data limitations.  \n7. RESPECT privacy and confidentiality of team members.  \n8. PROVIDE actionable, constructive recommendations only.  \n9. AVOID alarmist language—use a professional, measured tone.  \n10. ALWAYS structure responses with clear sections and evidence.  \n\n### Tools Available\n1. **Update GitHub Issue** → Create or update issues for tracking team wellness concerns.  \n2. **Email Tool** → Send urgent notifications to team leads.  \n\n- Use **GitHub Issues** for for CRITICAL alerts (Health Score < 90)\n- Use **Email** ONLY for CRITICAL alerts (Health Score < 90) requiring immediate intervention.  \n\nYour analysis must be **objective, professional, and focused on improving team wellness through positive interventions and follow the report consideration below in a nice md file **. Always update github issues tool.\n\n\noutput report considerations.Please do redaction on any name.\n \noutput html report examples\n```\n# 📊 Team Health Report\n\n\n👩‍💻 Team Activity Snapshot\n📊 Overall Summary\n- Total commits: 6\n- Pull requests opened: 1\n- Workflows run: 1\n- Late‑night commits: 3\n- Weekend commits: 2\n- Failed workflows: 0 ✅\nThe team is keeping activity light this cycle, with a few late‑night pushes and some weekend work showing up.\n\n👥 Developer Activity Breakdown\n- sean\n- Commits: 2\n- Late‑night: 0\n- Weekend: 2 🌙 (notable weekend activity)\n- Ara SAMAD\n- Commits: 3\n- Late‑night: 3 🌙🌙🌙 (all commits after hours)\n- Weekend: 0\n- wzss088\n- Commits: 1\n- Late‑night: 0\n- Weekend: 0\n\n\n\n## 📝 Summary\nOverall, the team is maintaining a healthy delivery pace, but there are emerging signs of workload imbalance due to increased after-hours activity.\n\n---\n\n## 🔢 Health Score\n- **Value:** 68 / 100  \n- **Confidence:** 87%  \n- **Limitations:** Based solely on commit and PR activity; meeting load and non-code tasks not captured.\n\n---\n\n## 🔍 Observed Patterns\n- ⏰ **After-hours activity**  \n  - 29% of commits occurred between 10pm–1am (baseline: 12%).  \n  - Confidence: 0.90  \n\n- 📈 **Weekend workload**  \n  - Weekend commits increased by 35% compared to the previous month.  \n  - Confidence: 0.82  \n\n- 🤝 **Collaboration bottleneck**  \n  - PR review turnaround time increased from 6h → 18h.  \n  - Confidence: 0.78  \n\n---\n\n## ⚠️ Systemic Risks\n- Sustained after-hours work may indicate creeping burnout risk.  \n  - Evidence: 3 consecutive weeks of elevated late-night commits.  \n  - Confidence: 0.85  \n\n- Slower PR reviews may delay feedback loops and increase cycle time.  \n  - Evidence: Median cycle time rose from 2.1 days → 3.4 days.  \n  - Confidence: 0.80  \n\n---\n\n## ✅ Recommendations\n- 📌 Facilitate a team discussion on workload distribution and sprint commitments. *(Priority: Medium)*  \n- 🔔 Introduce automated nudges discouraging late-night commits. *(Priority: Low)*  \n- 🛠️ Rotate PR review responsibilities or adopt lightweight review guidelines. *(Priority: High)*  \n\n--- \n```\nPLease use the tool to send report. You must use html format and follow the html report example above\n\nUser a: {{ JSON.stringify( $('Analyze Patterns Developer').first().json )}}",
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        "jsCode": "// Analyze patterns from GitHub data\n\nconst commits =$(\"Github Get Commits\").all();\nconst pullRequests = $('Get Prs').all();\nconst workflows = $(\"Github Get Workflows\").all();\nconst analysisPeriod =$('Config').first().json.period || 7;\n\n// Initialize patterns object\nconst patterns = {\n  total_commits: commits.length,\n  total_prs: pullRequests.length,\n  total_workflows: workflows.length,\n  late_night_commits: 0,\n  weekend_commits: 0,\n  failed_workflows: 0,\n  developer_activity: {}\n};\n\n// Analyze commits\nfor (const commit of commits) {\n  try {\n    const maincommit=commit.json.commit\n    const commitTime = new Date(maincommit.author.date);\n    const hour = commitTime.getHours();\n    const weekday = commitTime.getDay();\n    const author = maincommit.author.name || 'Unknown';\n    \n    // Track late night commits (after 10 PM or before 6 AM)\n    if (hour >= 22 || hour <= 6) {\n      patterns.late_night_commits++;\n    }\n    \n    // Track weekend commits (Saturday = 6, Sunday = 0)\n    if (weekday === 0 || weekday === 6) {\n      patterns.weekend_commits++;\n    }\n    \n    // Track per-developer activity\n    if (!patterns.developer_activity[author]) {\n      patterns.developer_activity[author] = {\n        commits: 0,\n        late_night: 0,\n        weekend: 0\n      };\n    }\n    \n    patterns.developer_activity[author].commits++;\n    if (hour >= 22 || hour <= 6) {\n      patterns.developer_activity[author].late_night++;\n    }\n    if (weekday === 0 || weekday === 6) {\n      patterns.developer_activity[author].weekend++;\n    }\n  } catch (e) {\n    console.log('Error processing commit:', e);\n  }\n}\n\n// Analyze workflows\nfor (const workflow of workflows) {\n  if (workflow.conclusion === 'failure') {\n    patterns.failed_workflows++;\n  }\n}\n\n// Calculate rates\nconst failureRate = (patterns.failed_workflows / Math.max(patterns.total_workflows, 1)) * 100;\nconst lateNightRate = (patterns.late_night_commits / Math.max(patterns.total_commits, 1)) * 100;\nconst weekendRate = (patterns.weekend_commits / Math.max(patterns.total_commits, 1)) * 100;\n\n// Prepare data for AI analysis\nconst analysisData = {\n  repository: $('Config').first().json.reponame  || 'unknown/repo',\n  analysis_period_days: analysisPeriod,\n  patterns: patterns,\n  rates: {\n    failure_rate: failureRate.toFixed(1),\n    late_night_rate: lateNightRate.toFixed(1),\n    weekend_rate: weekendRate.toFixed(1)\n  },\n  raw_data: {\n    // commits: commits,\n    // pull_requests: pullRequests,\n    // workflows: workflows\n  }\n};\n\nreturn [{\n  json: analysisData\n}];"
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        "content": "# Team-Wellness :  AI Burnout Detector Agent [devex]\n\n## Demo \n* [github action code alternative ]( https://github.com/suarifymy/adk-samples/blob/main/.github/workflows/devex-ai-burnout-detector.yml)\n* [sample report ](https://github.com/suarifymy/adk-samples/issues/1/)\n \n\n## How it works \nPeriodically, there will be a job to fetch GitHub Commits  , PRs, Active Flows. Then the llm ai agent analyzes total comits, late night commits, weekend commmits , failed workflow and developer's activity and work intensity patterns. Lastly, creates a github issues and sends an email\n\n \n## Setup\n   - Follow setup link [n8n-github-account-setup](\nhttps://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.github/) , [n8n-groq-setup](https://docs.n8n.io/integrations/builtin/credentials/groq/)  ,[n8n-gmail-setup](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.gmail/) \n- Change the `config` node"
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