agentsclimarketplace

Commit analyzer

Skill aAAaqwq/AGI-Super-Team/skills/commit-analyzer

14 AI executives powered by legendary minds (Musk/Buffett/Simons/Feynman) β€” deploy your virtual C-Suite in one git clone.

Install
npx -y skills add aAAaqwq/AGI-Super-Team --skill commit-analyzer

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

What its author says it does

Copied from the file, not written here

Analyze git commit frequency, categories, and timing patterns to diagnose autonomous agent activity and operational health.

SKILL.md

3.1 KB, as published. Nobody here has run it

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)

./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

πŸ“Š 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%) βœ…

Recommendation: Check for blockers or waiting mode

Category breakdown

$ ./skills/commit-analyzer/analyzer.sh categories 3

πŸ“Š 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"

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.