Commit Analyzer Skill

SkillDev tools

Analyze git commit frequency, categories, and timing patterns to diagnose

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Commit Analyzer Skill skill

What this skill tells your AI

The instructions your AI receives, as published by aaaaqwq/agi-super-team in skills/commit-analyzer/SKILL.md and read by ahel’s review.

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)

./skills/commit-analyzer/analyzer.sh health

Outputs current operational health based on last 24 hours.

Full Report

./skills/commit-analyzer/analyzer.sh report [days]

Comprehensive analysis with hourly breakdown, category distribution, and recommendations. Default: 7 days.

Hourly Breakdown

./skills/commit-analyzer/analyzer.sh hourly [days]

Shows commits by hour of day to identify productive periods.

Category Analysis

./skills/commit-analyzer/analyzer.sh categories [days]

Groups commits by prefix (Queue:, Learning:, Docs:, etc.) to show work distribution.

Waiting Mode Detection

./skills/commit-analyzer/analyzer.sh waiting [hours]

Checks for idle periods where commits dropped below threshold. Default: last 48 hours.

Health Indicators

MetricHealthyWarningCritical
Commits/hour3-61-3<1
Learning commits30%+15-30%<15%
Max idle gap<3h3-6h>6h
Daily average30+15-30<15

Integration

Heartbeat Check

Add to HEARTBEAT.md:

## 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:

./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"

Signals

GitHub stars
92
Forks
23
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
commit-analyzer
Source
github.com/aaaaqwq/agi-super-team