
Usage Trends
Pulls analytics from Agent Monitor's API and gives you trend breakdowns: daily session counts, token volumes, tool usage rankings, model distribution, all across a 365-day window. You ask for "last 30 days" or "tool trends" and get markdown tables with completion rates, cache efficiency ratios, week-over-week deltas. The cache read metric is especially useful if you're trying to see whether prompt caching is actually saving you money over time. It's thorough but assumes you're already running Agent Monitor and care about the operational side of your Claude deployments. If you just want a quick pulse check, the ASCII trend indicators (▲▼→) keep it readable without spinning up a dashboard.
- GitHub stars
- 455
- last updated
- Jun 11, 2026
Install
$ npx -y skills add hoangsonww/claude-code-agent-monitor --skill usage-trends --agent claude-codeInstalls into .claude/skills of the current project.
Files
Usage Trends
Analyze usage patterns and trends from the Agent Monitor analytics data.
Input
The user provides: $ARGUMENTS
Options: "last 7 days", "last 30 days", "last quarter", "peak hours", "tool trends", "model usage".
Data Sources
| Endpoint | Returns |
|---|---|
GET /api/analytics | Comprehensive analytics object (see schema below) |
GET /api/stats | { total_sessions, active_sessions, active_agents, total_agents, total_events, events_today, ws_connections, agents_by_status, sessions_by_status } |
GET /api/sessions?limit=200 | Full session records with timestamps and metadata |
Analytics response schema (GET /api/analytics)
Sponsors
Details
- Repository
- github.com/hoangsonww/claude-code-agent-monitor
- Categories
- DevOps & CI/CD, AI & Agent Building
- License
- MIT
- First seen
- Jun 11, 2026
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