Refactor remaining skills with resources pattern and allowed-tools
- k8s-quick-status: Add scripts/quick-status.sh, allowed-tools - sysadmin-health: Add scripts/health-check.sh, allowed-tools - usage: Add scripts/usage_report.py, simplify SKILL.md - programmer-add-project: Add allowed-tools All skills now: - Have executable scripts for main operations - Use allowed-tools to restrict capabilities - Have improved descriptions with trigger phrases - Follow the "Skill with Bundled Resources" pattern 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
@@ -1,43 +1,61 @@
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---
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name: k8s-quick-status
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description: Quick cluster health pulse check
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model: haiku
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description: Quick cluster health pulse check. Use when asked about cluster status, k8s health, or kubernetes overview.
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allowed-tools:
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- Bash
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- Read
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---
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# K8s Quick Status Skill
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Performs a lightweight health pulse check on the Raspberry Pi Kubernetes cluster.
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## Quick Command
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```bash
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~/.claude/skills/k8s-quick-status/scripts/quick-status.sh
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```
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Or run individual checks:
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```bash
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# Node status
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kubectl get nodes -o wide
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# Unhealthy pods
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kubectl get pods -A --field-selector=status.phase!=Running,status.phase!=Succeeded
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# Warning events
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kubectl get events -A --field-selector=type=Warning --sort-by='.lastTimestamp' | tail -10
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# ArgoCD apps
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argocd app list
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```
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## Checks Performed
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### Node Status
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- Node readiness (`kubectl get nodes`)
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- Node conditions (MemoryPressure, DiskPressure, PIDPressure)
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### Pod Health
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- Unhealthy pods (`kubectl get pods -A --field-selector=status.phase!=Running`)
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- High restart counts (pods with >5 restarts)
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### Recent Events
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- Warning events in last hour (`kubectl get events -A --field-selector=type=Warning --sort-by='.lastTimestamp'`)
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### ArgoCD Status
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- Application sync status (`argocd app list`)
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- Any OutOfSync or Degraded apps
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| Check | Command | What It Shows |
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|-------|---------|---------------|
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| Nodes | `kubectl get nodes` | Readiness, conditions |
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| Pods | `kubectl get pods -A` | Unhealthy pods |
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| Restarts | jsonpath query | Pods with >5 restarts |
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| Events | `kubectl get events` | Recent warnings |
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| ArgoCD | `argocd app list` | Sync status |
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## Output Format
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Report as structured summary with:
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- Overall status (healthy/warning/critical)
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- Node summary table
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- Unhealthy pods list (if any)
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- ArgoCD app status
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- Immediate concerns (if any)
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## Autonomy
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This skill is read-only and can run without confirmation.
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Report as structured summary:
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- **Overall status**: healthy/warning/critical
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- **Node summary**: table of nodes
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- **Issues**: unhealthy pods, high restarts
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- **ArgoCD**: sync status
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- **Concerns**: immediate action items
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## When to Use
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Use this skill for a quick pulse check. For comprehensive analysis with metrics and detailed recommendations, use the `/cluster-status` command which invokes the full `cluster-health-check` workflow.
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- Quick pulse check: use this skill
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- Comprehensive analysis: use `/cluster-status` command
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## Autonomy
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Read-only - runs without confirmation.
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28
skills/k8s-quick-status/scripts/quick-status.sh
Executable file
28
skills/k8s-quick-status/scripts/quick-status.sh
Executable file
@@ -0,0 +1,28 @@
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#!/bin/bash
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# Quick Kubernetes cluster status check
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# Returns structured output for easy parsing
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set -euo pipefail
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echo "=== Node Status ==="
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kubectl get nodes -o wide 2>/dev/null || echo "Error: Cannot reach cluster"
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echo ""
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echo "=== Unhealthy Pods ==="
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kubectl get pods -A --field-selector=status.phase!=Running,status.phase!=Succeeded 2>/dev/null | grep -v "^NAMESPACE" || echo "All pods healthy"
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echo ""
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echo "=== High Restart Pods ==="
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kubectl get pods -A -o jsonpath='{range .items[?(@.status.containerStatuses[0].restartCount>5)]}{.metadata.namespace}/{.metadata.name}: {.status.containerStatuses[0].restartCount} restarts{"\n"}{end}' 2>/dev/null || echo "No high restart pods"
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echo ""
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echo "=== Recent Warning Events ==="
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kubectl get events -A --field-selector=type=Warning --sort-by='.lastTimestamp' 2>/dev/null | tail -10 || echo "No warning events"
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echo ""
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echo "=== ArgoCD Apps ==="
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if command -v argocd &>/dev/null; then
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argocd app list --output wide 2>/dev/null || echo "ArgoCD not accessible"
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else
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echo "ArgoCD CLI not installed"
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fi
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@@ -1,6 +1,10 @@
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---
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name: programmer-add-project
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description: Register a new project with the programmer agent system
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description: Register a new project with the programmer agent system. Use when adding a new codebase or project.
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allowed-tools:
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- Bash
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- Read
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- Write
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---
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# Add Project to Programmer Agent
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@@ -1,51 +1,70 @@
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---
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name: sysadmin-health
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description: Run comprehensive health check on Arch Linux workstation
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model: haiku
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description: Comprehensive health check on Arch Linux workstation. Use when asked about system health, disk space, memory, updates, or services.
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allowed-tools:
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- Bash
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- Read
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---
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# Sysadmin Health Check Skill
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Performs a comprehensive health check on the local Arch Linux workstation.
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## Quick Command
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```bash
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~/.claude/skills/sysadmin-health/scripts/health-check.sh
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```
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Or run individual checks:
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```bash
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# Resources
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df -h / /home
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free -h
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uptime
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# Packages
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checkupdates | wc -l
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yay -Qua | wc -l
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pacman -Qtdq | wc -l
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# Services
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systemctl --failed
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systemctl --user --failed
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# Logs
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journalctl -p err --since "24 hours ago" -n 10
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```
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## Checks Performed
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### System Resources
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- Disk usage (`df -h`)
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- Memory usage (`free -h`)
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- Swap usage
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- CPU load (`uptime`)
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- Top processes by resource usage
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### Package Status
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- Pending pacman updates (`checkupdates`)
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- AUR updates available (`yay -Qua`)
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- Orphaned packages (`pacman -Qtdq`)
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- Package cache size (`du -sh /var/cache/pacman/pkg`)
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### Service Status
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- Failed systemd services (`systemctl --failed`)
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- Key services status (NetworkManager, sshd, etc.)
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### User Timers (Claude Automation)
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- Active user timers (`systemctl --user list-timers`)
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- Failed user services (`systemctl --user --failed`)
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- Recent timer runs (`journalctl --user -u k8s-agent-health-check --since "24 hours ago" -n 5`)
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### Security
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- Recent failed login attempts (`journalctl -u sshd --since "24 hours ago" | grep -i failed`)
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- Last logins (`last -n 5`)
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### Logs
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- Recent errors in journal (`journalctl -p err --since "24 hours ago" -n 20`)
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| Category | Checks |
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|----------|--------|
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| **Resources** | Disk, memory, swap, CPU load |
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| **Packages** | Pacman updates, AUR updates, orphans |
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| **Services** | Failed systemd services (system + user) |
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| **Security** | Recent logins, failed SSH attempts |
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| **Logs** | Recent errors in journal |
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## Output Format
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Report as structured summary with:
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- Overall health status (healthy/warning/critical)
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- Issues found (if any)
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- Recommended actions
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Report as structured summary:
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- **Overall health**: healthy/warning/critical
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- **Resource usage**: disk %, memory %
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- **Pending updates**: count
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- **Failed services**: list
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- **Issues found**: with recommendations
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## Thresholds
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| Metric | Warning | Critical |
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|--------|---------|----------|
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| Disk usage | >80% | >95% |
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| Memory usage | >80% | >95% |
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| Pending updates | >20 | >50 |
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| Failed services | any | any critical |
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## Autonomy
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This skill is read-only and can run without confirmation.
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Read-only - runs without confirmation.
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45
skills/sysadmin-health/scripts/health-check.sh
Executable file
45
skills/sysadmin-health/scripts/health-check.sh
Executable file
@@ -0,0 +1,45 @@
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#!/bin/bash
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# Comprehensive Arch Linux health check
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# Returns structured output for easy parsing
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set -euo pipefail
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echo "=== System Resources ==="
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echo "--- Disk Usage ---"
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df -h / /home 2>/dev/null || df -h
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echo ""
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echo "--- Memory ---"
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free -h
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echo ""
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echo "--- Load ---"
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uptime
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echo ""
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echo "=== Package Status ==="
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echo "--- Pending Updates ---"
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checkupdates 2>/dev/null | wc -l | xargs echo "Pacman updates:"
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yay -Qua 2>/dev/null | wc -l | xargs echo "AUR updates:" || echo "AUR updates: N/A"
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echo ""
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echo "--- Orphaned Packages ---"
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pacman -Qtdq 2>/dev/null | wc -l | xargs echo "Orphans:" || echo "Orphans: 0"
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echo ""
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echo "=== Service Status ==="
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echo "--- Failed Services ---"
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systemctl --failed --no-pager 2>/dev/null || echo "No failed services"
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echo ""
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echo "--- Failed User Services ---"
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systemctl --user --failed --no-pager 2>/dev/null || echo "No failed user services"
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echo ""
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echo "=== Recent Errors ==="
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journalctl -p err --since "24 hours ago" -n 10 --no-pager 2>/dev/null || echo "No recent errors"
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echo ""
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echo "=== Security ==="
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echo "--- Recent Logins ---"
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last -n 5 2>/dev/null || echo "No login history"
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@@ -1,6 +1,6 @@
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---
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name: usage
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description: Track and report model usage across sessions
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description: Track and report model usage across sessions. Use when asked about usage, stats, or session history.
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allowed-tools:
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- Bash
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- Read
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@@ -10,13 +10,13 @@ allowed-tools:
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Query session history and report usage statistics.
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## Data Sources
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## Quick Command
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| Source | Status | Data Available |
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|--------|--------|----------------|
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| `history/index.json` | Available | Session IDs, start times |
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| `history/*.jsonl` | Future | Session content, commands, tokens |
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| `usage/config.json` | Available | Log level, preferences |
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```bash
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python3 ~/.claude/skills/usage/scripts/usage_report.py [range]
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```
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Ranges: `today`, `week` (default), `month`, `all`
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## Command Routing
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@@ -27,11 +27,29 @@ Query session history and report usage statistics.
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| `/usage week` | Last 7 days |
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| `/usage month` | Last 30 days |
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| `/usage all` | All time stats |
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| `/usage --by agent` | Group by agent |
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| `/usage --by skill` | Group by skill |
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| `/usage --by model` | Group by model tier |
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| `/usage --set-level <level>` | Set log level |
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| `/usage --show-config` | Show current config |
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## Data Sources
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| Source | Status | Data |
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|--------|--------|------|
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| `history/index.json` | Available | Session IDs, start times |
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| `usage/config.json` | Available | Log level, preferences |
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## Output Format
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```
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📊 Usage Summary — Week
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Sessions: 12
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Total time: 8h 32m
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Days active: 5
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Model: opus (primary)
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📅 Sessions by Date:
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2026-01-01: 3 sessions (95m)
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2025-12-31: 4 sessions (120m)
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...
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```
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## Log Levels
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@@ -41,111 +59,6 @@ Query session history and report usage statistics.
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| `standard` | + agents, skills, tokens (default) |
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| `detailed` | + commands, delegations, errors |
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## Implementation
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### Query Sessions
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```python
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import json
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from datetime import datetime, timedelta
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from pathlib import Path
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from zoneinfo import ZoneInfo
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LOCAL_TZ = ZoneInfo('America/Los_Angeles')
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HISTORY_DIR = Path.home() / ".claude/state/personal-assistant/history"
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CONFIG_PATH = Path.home() / ".claude/state/usage/config.json"
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def load_sessions():
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index_path = HISTORY_DIR / "index.json"
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if not index_path.exists():
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return []
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with open(index_path) as f:
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data = json.load(f)
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return data.get("sessions", [])
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def filter_sessions(sessions, range_type="week"):
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now = datetime.now(LOCAL_TZ)
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if range_type == "today":
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cutoff = now.replace(hour=0, minute=0, second=0, microsecond=0)
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elif range_type == "week":
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cutoff = now - timedelta(days=7)
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elif range_type == "month":
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cutoff = now - timedelta(days=30)
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else: # all
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return sessions
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|
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filtered = []
|
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for s in sessions:
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started = datetime.fromisoformat(s["started"])
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if started >= cutoff:
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filtered.append(s)
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return filtered
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|
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def estimate_duration(sessions):
|
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"""Estimate session duration from consecutive start times."""
|
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if not sessions:
|
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return []
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sorted_sessions = sorted(sessions, key=lambda s: s["started"])
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for i, session in enumerate(sorted_sessions):
|
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if i + 1 < len(sorted_sessions):
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start = datetime.fromisoformat(session["started"])
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next_start = datetime.fromisoformat(sorted_sessions[i + 1]["started"])
|
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duration = (next_start - start).total_seconds() / 60
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# Cap at 2 hours (likely session gap)
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session["duration_mins"] = min(duration, 120)
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else:
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# Current/last session: estimate 30 mins
|
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session["duration_mins"] = 30
|
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return sorted_sessions
|
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```
|
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|
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### Generate Report
|
||||
|
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```python
|
||||
def generate_report(sessions, range_type="week"):
|
||||
total_mins = sum(s.get("duration_mins", 0) for s in sessions)
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hours = int(total_mins // 60)
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mins = int(total_mins % 60)
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|
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report = f"""
|
||||
📊 Usage Summary — {range_type.title()}
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|
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Sessions: {len(sessions)}
|
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Total time: {hours}h {mins}m
|
||||
Model: opus (primary)
|
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"""
|
||||
return report
|
||||
```
|
||||
|
||||
## Output Format
|
||||
|
||||
```
|
||||
📊 Usage Summary — Last 7 Days
|
||||
|
||||
Sessions: 12
|
||||
Total time: 8h 32m
|
||||
Model: opus (primary)
|
||||
|
||||
┌─────────────┬──────────┬────────┐
|
||||
│ Agent │ Sessions │ Time │
|
||||
├─────────────┼──────────┼────────┤
|
||||
│ PA │ 12 │ 8h 32m │
|
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└─────────────┴──────────┴────────┘
|
||||
|
||||
Note: Detailed metrics available when session
|
||||
content logging is enabled.
|
||||
```
|
||||
|
||||
## Future Enhancements
|
||||
|
||||
When `history/*.jsonl` files are available:
|
||||
- Parse actual commands used
|
||||
- Detect skill invocations
|
||||
- Count delegations (sonnet/haiku)
|
||||
- Estimate token usage
|
||||
- Track errors
|
||||
|
||||
## Policy
|
||||
|
||||
- Read-only operations
|
||||
|
||||
109
skills/usage/scripts/usage_report.py
Executable file
109
skills/usage/scripts/usage_report.py
Executable file
@@ -0,0 +1,109 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Generate usage statistics from session history."""
|
||||
import json
|
||||
import sys
|
||||
from datetime import datetime, timedelta
|
||||
from pathlib import Path
|
||||
from zoneinfo import ZoneInfo
|
||||
|
||||
LOCAL_TZ = ZoneInfo('America/Los_Angeles')
|
||||
HISTORY_DIR = Path.home() / ".claude/state/personal-assistant/history"
|
||||
CONFIG_PATH = Path.home() / ".claude/state/usage/config.json"
|
||||
|
||||
|
||||
def load_sessions():
|
||||
"""Load sessions from history index."""
|
||||
index_path = HISTORY_DIR / "index.json"
|
||||
if not index_path.exists():
|
||||
return []
|
||||
with open(index_path) as f:
|
||||
data = json.load(f)
|
||||
return data.get("sessions", [])
|
||||
|
||||
|
||||
def filter_sessions(sessions, range_type="week"):
|
||||
"""Filter sessions by time range."""
|
||||
now = datetime.now(LOCAL_TZ)
|
||||
if range_type == "today":
|
||||
cutoff = now.replace(hour=0, minute=0, second=0, microsecond=0)
|
||||
elif range_type == "week":
|
||||
cutoff = now - timedelta(days=7)
|
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elif range_type == "month":
|
||||
cutoff = now - timedelta(days=30)
|
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else: # all
|
||||
return sessions
|
||||
|
||||
filtered = []
|
||||
for s in sessions:
|
||||
try:
|
||||
started = datetime.fromisoformat(s["started"])
|
||||
if started.tzinfo is None:
|
||||
started = started.replace(tzinfo=LOCAL_TZ)
|
||||
if started >= cutoff:
|
||||
filtered.append(s)
|
||||
except (KeyError, ValueError):
|
||||
continue
|
||||
return filtered
|
||||
|
||||
|
||||
def estimate_duration(sessions):
|
||||
"""Estimate session duration from consecutive start times."""
|
||||
if not sessions:
|
||||
return []
|
||||
|
||||
sorted_sessions = sorted(sessions, key=lambda s: s["started"])
|
||||
for i, session in enumerate(sorted_sessions):
|
||||
if i + 1 < len(sorted_sessions):
|
||||
start = datetime.fromisoformat(session["started"])
|
||||
next_start = datetime.fromisoformat(sorted_sessions[i + 1]["started"])
|
||||
duration = (next_start - start).total_seconds() / 60
|
||||
# Cap at 2 hours (likely session gap)
|
||||
session["duration_mins"] = min(duration, 120)
|
||||
else:
|
||||
# Current/last session: estimate 30 mins
|
||||
session["duration_mins"] = 30
|
||||
return sorted_sessions
|
||||
|
||||
|
||||
def generate_report(sessions, range_type="week"):
|
||||
"""Generate usage report."""
|
||||
sessions = estimate_duration(sessions)
|
||||
total_mins = sum(s.get("duration_mins", 0) for s in sessions)
|
||||
hours = int(total_mins // 60)
|
||||
mins = int(total_mins % 60)
|
||||
|
||||
# Group by date
|
||||
by_date = {}
|
||||
for s in sessions:
|
||||
date = s["started"][:10]
|
||||
by_date.setdefault(date, []).append(s)
|
||||
|
||||
report = f"""📊 Usage Summary — {range_type.title()}
|
||||
|
||||
Sessions: {len(sessions)}
|
||||
Total time: {hours}h {mins}m
|
||||
Days active: {len(by_date)}
|
||||
Model: opus (primary)
|
||||
"""
|
||||
|
||||
if by_date:
|
||||
report += "\n📅 Sessions by Date:\n"
|
||||
for date in sorted(by_date.keys(), reverse=True)[:7]:
|
||||
count = len(by_date[date])
|
||||
day_mins = sum(s.get("duration_mins", 0) for s in by_date[date])
|
||||
report += f" {date}: {count} sessions ({int(day_mins)}m)\n"
|
||||
|
||||
return report
|
||||
|
||||
|
||||
def main():
|
||||
range_type = sys.argv[1] if len(sys.argv) > 1 else "week"
|
||||
|
||||
sessions = load_sessions()
|
||||
filtered = filter_sessions(sessions, range_type)
|
||||
report = generate_report(filtered, range_type)
|
||||
print(report)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
Reference in New Issue
Block a user