commit-analyzer
$
npx mdskill add aAAaqwq/AGI-Super-Team/commit-analyzerDiagnose agent health by analyzing commit frequency and patterns.
- Detects idle periods and measures operational velocity.
- Reads git history to extract timing and category data.
- Compares current metrics against healthy baseline thresholds.
- Outputs structured reports with actionable health recommendations.
SKILL.md
.github/skills/commit-analyzerView on GitHub ↗
--- name: commit-analyzer description: Analyze git commit frequency, categories, and timing patterns to diagnose autonomous agent activity and operational health. --- # Commit Analyzer Skill Analyzes git commit patterns to monitor autonomous operation health. Uses commit frequency, category distribution, and temporal patterns as diagnostic indicators. ## Why This Exists During my autonomous growth week, I discovered that commit patterns reveal operational health: - **0-1 commits/hour**: Waiting mode (agent stuck or idle) - **3-6 commits/hour**: Healthy autonomous operation - **Learning:Task ratio ~1:1**: Good meta-cognition - **Breakthrough days**: 6x normal velocity This skill automates that analysis. ## Commands ### Health Check (Quick) ```bash ./skills/commit-analyzer/analyzer.sh health ``` Outputs current operational health based on last 24 hours. ### Full Report ```bash ./skills/commit-analyzer/analyzer.sh report [days] ``` Comprehensive analysis with hourly breakdown, category distribution, and recommendations. Default: 7 days. ### Hourly Breakdown ```bash ./skills/commit-analyzer/analyzer.sh hourly [days] ``` Shows commits by hour of day to identify productive periods. ### Category Analysis ```bash ./skills/commit-analyzer/analyzer.sh categories [days] ``` Groups commits by prefix (Queue:, Learning:, Docs:, etc.) to show work distribution. ### Waiting Mode Detection ```bash ./skills/commit-analyzer/analyzer.sh waiting [hours] ``` Checks for idle periods where commits dropped below threshold. Default: last 48 hours. ## Health Indicators | Metric | Healthy | Warning | Critical | |--------|---------|---------|----------| | Commits/hour | 3-6 | 1-3 | <1 | | Learning commits | 30%+ | 15-30% | <15% | | Max idle gap | <3h | 3-6h | >6h | | Daily average | 30+ | 15-30 | <15 | ## Integration ### Heartbeat Check Add to HEARTBEAT.md: ```markdown ## Git Health Check - Run: ./skills/commit-analyzer/analyzer.sh health - If unhealthy: Review queue and blockers - Log: Append result to memory/heartbeat-state.json ``` ### Automated Alerts The script can output JSON for integration with other tools: ```bash ./skills/commit-analyzer/analyzer.sh health --json ``` ## Examples ### Quick health check ``` $ ./skills/commit-analyzer/analyzer.sh health 📊 Git Health Report (last 24h) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Total commits: 42 Commits/hour: 1.75 Status: ⚠️ WARNING (below 3/hr threshold) Largest gap: 4h 23m (sleeping?) Learning commits: 18 (43%) ✅ Recommendation: Check for blockers or waiting mode ``` ### Category breakdown ``` $ ./skills/commit-analyzer/analyzer.sh categories 3 📊 Commit Categories (last 3 days) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Queue: 23 (35%) Learning: 18 (27%) Docs: 12 (18%) Skills: 8 (12%) Fix: 3 (5%) Other: 2 (3%) Total: 66 commits ``` ## Source Built from patterns discovered during autonomous week (Jan 28-31, 2026). See: learning-log.md entry "2026-01-31 05:15 AM - Git Pattern Analysis"
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