Generate Status Report

Generate comprehensive system status report with complete metrics and analysis.

What It Generates

• Complete system overview
• All services status
• Infrastructure health
• Performance metrics (1hr, 24hr, 7d)
• Recent activity summary
• Top agents and patterns
• Issues and recommendations
• Trend analysis
• Export formats: JSON, Markdown, HTML

When to Use

• Daily reports: Automated daily status reports
• Weekly reviews: Comprehensive system review
• Post-incident: Document system state
• Audits: Compliance and audit documentation
• Stakeholder updates: Share system health status

How to Use

# Generate JSON report
python3 ${CLAUDE_PLUGIN_ROOT}/skills/system-status/generate-status-report/execute.py

# Generate Markdown report
python3 ${CLAUDE_PLUGIN_ROOT}/skills/system-status/generate-status-report/execute.py \
  --format markdown \
  --output /tmp/system-status-report.md

# Include detailed trends
python3 ${CLAUDE_PLUGIN_ROOT}/skills/system-status/generate-status-report/execute.py \
  --include-trends \
  --timeframe 7d

Arguments

--format

Output format:

json

,

markdown

, or

text

[default:

json

]

• json: Structured JSON output for programmatic processing
• markdown: Human-readable Markdown with tables and formatting
• text: Plain text format (uses markdown as base)

--output

Output file path (stdout if not specified)

• If provided, report is written to file
• If omitted, report is printed to stdout

--include-trends

Enable historical trend analysis comparing current period with previous period

What it provides:

• Routing decisions change percentage
• Average routing time change percentage
• Average confidence change percentage
• Comparison with equivalent previous timeframe

Example output:

## Trends Analysis

**Comparison with Previous Period**:
- **Routing Decisions**: +15.3% change
- **Average Routing Time**: -8.2% change (improvement)
- **Average Confidence**: +2.1% change

*Positive values indicate increase, negative values indicate decrease*

Performance note: Adds ~100-200ms to report generation time due to additional database query.

--timeframe

Data collection period:

1h

,

24h

, or

7d

[default:

24h

]

• 1h

  : Last 1 hour (recent activity snapshot)

• 24h

  : Last 24 hours (daily overview)

• 7d

  : Last 7 days (weekly trends)

Note: When using

--include-trends

, the comparison is with the equivalent previous period (e.g.,

24h

compares last 24h vs previous 24h)

Output Sections

1. Executive Summary - Overall system health and key metrics
2. Service Health Matrix - All services with status indicators
3. Infrastructure Status - Kafka, PostgreSQL, Qdrant health
4. Performance Metrics - Routing times, query latencies, throughput
5. Recent Activity - Agent executions, routing decisions, actions
6. Top Agents - Most frequently routed agents
7. Pattern Discovery - Collection stats and vector counts
8. Issues & Recommendations - Problems found and suggestions
9. Trends (optional) - Historical comparison and trends

Example Markdown Output

# System Status Report

**Generated**: 2025-11-12T14:30:00Z
**Timeframe**: 24 hours

## Executive Summary

- **System Health**: Healthy
- **Services Running**: 12/12
- **Agent Executions**: 452
- **Routing Decisions**: 890
- **Average Confidence**: 89%

## Service Health

| Service | Status | Uptime |
|---------|--------|--------|
| archon-intelligence | ✓ Healthy | 5d 3h |
| archon-qdrant | ✓ Healthy | 5d 3h |
...

## Issues

No critical issues found.

## Recommendations

1. Consider increasing Qdrant collection size
2. Monitor connection pool usage

See Also

• check-system-health - Quick health check
• diagnose-issues - Detailed issue diagnosis