Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add event4u-app/agent-config --skill dashboard-designgit clone --depth 1 https://github.com/event4u-app/agent-configWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/event4u-app/agent-config/dashboard-design)<a href="https://agentmods.dev/skills/event4u-app/agent-config/dashboard-design"><img src="https://agentmods.dev/badge/skills/event4u-app/agent-config/dashboard-design/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/event4u-app/agent-config/dashboard-design"><img src="https://agentmods.dev/badge/skills/event4u-app/agent-config/dashboard-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00030 | $0.01314 |
| Opus 5 | $0.00015 | $0.00657 |
| Sonnet 5 | $0.00006 | $0.00263 |
| Haiku 4.5 | $0.00003 | $0.00131 |
Grade A, and why
dashboard-design scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
dashboard-design
When to use
Use when designing a new Grafana or admin dashboard, deciding what goes where (Grafana vs. app), or embedding Grafana panels in the Laravel app.
Do NOT use when:
- Writing Grafana queries/JSON (use
grafanaskill) - Building Livewire components (use
livewireskill)
Procedure: Design a dashboard
- Inspect the data sources — Identify which signals already exist (logs, metrics, app queries) and where they live (Grafana / Loki / app DB) before designing a new panel.
- Pick the surface — Use the decision tables below to choose Grafana, app dashboard, or embed; document audience and refresh cadence.
- Draft the layout — Sketch panels, choose visualization per signal (RED / USE / Golden Signals), define filters and thresholds.
Ground the chart-type choice in the adopted data-viz corpus instead
of memory:
./scripts-run <skills-root>/corpus-grounding/scripts/ground search --manifest <skills-root>/design-intelligence/data/manifest.json --domain chart "<data shape>"returns the best chart type, when-NOT-to-use, data-volume threshold, a11y grade + colorblind fallback, and a library recommendation per row (seedesign-intelligence). - Implement and verify — Build the dashboard, load realistic data, and confirm every panel answers a named question for the named audience.
| Domain | Technology | Purpose |
|---|---|---|
| Monitoring | Grafana + Loki | Infrastructure health, error rates, logs, SLAs |
| Business/Admin | Laravel + Livewire + Tailwind | Customer KPIs, import stats, usage metrics |
Decision: What goes where?
| Data | Where |
|---|---|
| Server metrics, error rates, latency | Grafana |
| Log analysis, traces | Grafana (Loki) |
| SLA/uptime tracking | Grafana |
| Customer-facing KPIs | App dashboard |
| Import statistics per customer | App dashboard (+ Grafana embed) |
| User activity, usage metrics | App dashboard |
Grafana Embedding
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 7d ago First seen · 147 lines · 30 tokens per session scan A 56e4f8b65697
dashboard-design is a skill published in the GitHub repository event4u-app/agent-config (10 stars, last pushed today), licensed MIT. It adds 30 tokens to every session and 1,314 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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