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Dashboard

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Unified Embry OS development dashboard. Aggregates daemon health, LLM metrics, shadow agreement, cascade state, skill health, active tasks, Chutes quota, and project-state into a single Rich TUI, JSON, or plain-text view.

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  • Added September 11, 2026
ai-agentsbash

Works with

  • cli

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Scanned September 11, 2026

npx -y skills add grahama1970/agent-skills --skill dashboard --agent claude-code

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SKILL.md
---
name: dashboard
description: >
  Unified Embry OS development dashboard. Aggregates daemon health, LLM metrics,
  shadow agreement, cascade state, skill health, active tasks, Chutes quota, and
  project-state into a single Rich TUI, JSON, or plain-text view.
triggers:
  - /dashboard
  - show me the dashboard
  - system status overview
allowed-tools: [Bash, Read]
metadata:
  short-description: Unified dev dashboard with TUI, JSON, and text output modes.
  version: "0.1.0"
provides:
  - dashboard
composes:
  - project-state
  - service-status
  - ops-chutes
  - task-monitor
  - monitor-skill-health
  - agentic-evals
taxonomy:
  - observability
  - developer-tools
disciplines:
  - observability-operations
  - ui-design-engineering
---

# Dashboard Skill

Unified development dashboard for Embry OS. Aggregates data from 8 independent
collectors into a live Rich TUI, JSON blob, or plain-text summary.

## Usage

```bash
# Live TUI (default) - refreshes every 5s
./run.sh

# JSON output (pipeable to /create-figure)
./run.sh json

# Plain text summary
./run.sh text
```

## Data Sources

| Collector | Source |
|-----------|--------|
| Daemon Health | `state.sock /health/all` |
| LLM Metrics | `~/.pi/assistant/metrics.jsonl` |
| Shadow Agreement | `~/.pi/assistant/shadow.jsonl` |
| Cascade State | `skills/assistant/model_registry.json` |
| Skill Health | `~/.pi/monitor-skill-health/latest_summary.json` |
| Active Tasks | `~/.pi/task-monitor/registry.json` |
| Chutes Quota | `ops-chutes/run.sh usage --json` |
| Project State | `project-state/run.sh report --quick --json` |

## Architecture

- `collectors.py`: 8 independent data fetchers, `collect_all()` via `ThreadPoolExecutor(max_workers=6)`
- `tui.py`: Rich `Live` display with `Layout`/`Panel`/`Table` (same pattern as task-monitor)
- `renderer.py`: JSON and plain-text output modes
- `dashboard.py`: Typer CLI entry point

Files in this skill

  • SKILL.md1.9 KB
  • collectors.py26.3 KB
  • dashboard.py4.7 KB
  • docs/DESIGN_BOARD.md14.2 KB
  • fixtures/agentic_eval.json487 B
  • pyproject.toml271 B
  • renderer.py5.4 KB
  • run.sh1.3 KB
  • sanity.sh1.8 KB
  • tui.py21.4 KB

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