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 The-AI-Directory-Company/agents-and-skills --skill dashboard-designgit clone --depth 1 https://github.com/The-AI-Directory-Company/agents-and-skillsWrote 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/the-ai-directory-company/agents-and-skills/dashboard-design)<a href="https://agentmods.dev/skills/the-ai-directory-company/agents-and-skills/dashboard-design"><img src="https://agentmods.dev/badge/skills/the-ai-directory-company/agents-and-skills/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/the-ai-directory-company/agents-and-skills/dashboard-design"><img src="https://agentmods.dev/badge/skills/the-ai-directory-company/agents-and-skills/dashboard-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00035 | $0.01493 |
| Opus 5 | $0.00017 | $0.00746 |
| Sonnet 5 | $0.00007 | $0.00299 |
| Haiku 4.5 | $0.00003 | $0.00149 |
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 9d 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 — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dashboard Design
Before you start
Gather the following from the user before designing:
- Who is the primary audience? (Executive, manager, analyst, operator — each needs different density and interactivity)
- What decisions will this dashboard support? (Not "what data do you want to see" but "what will you do differently based on this data")
- What are the 3-5 key questions this dashboard must answer? (Every element must tie back to a question)
- What is the data source and refresh cadence? (Real-time stream, hourly batch, daily ETL — this constrains layout)
- Where will it be viewed? (Desktop monitor, laptop, TV wall, mobile, embedded in another tool)
If the user says "I want a dashboard with all our metrics," push back: "A dashboard that shows everything answers nothing. Which 3-5 questions should someone be able to answer in under 10 seconds?"
Dashboard design template
1. Define the KPI bar
Place 3-5 headline metrics at the top of the dashboard. Each KPI card must include:
- Metric name in plain language (not column names like
mrr_net_new) - Current value with appropriate formatting (currency, percentage, count)
- Comparison value — period-over-period change or target attainment
- Trend indicator — directional arrow or sparkline for context
Layout rule: KPIs read left to right in order of importance. The leftmost metric is the one the viewer checks first.
[ Revenue: $1.2M +12% vs last month ] [ Active Users: 45.2K -3% ] [ NPS: 72 +5pts ]
2. Select chart types by question
Match each question to the right chart type. Use this decision framework:
| Question type | Chart type | Avoid |
|---|---|---|
| How has X changed over time? | Line chart (continuous) or bar chart (discrete periods) | Pie chart |
| How does X compare across categories? | Horizontal bar chart (ranked) | 3D charts, radar charts |
| What is the distribution of X? | Histogram or box plot | Pie chart with 10+ slices |
| What is the relationship between X and Y? | Scatter plot | Dual-axis charts (misleading scales) |
| What is the composition of X? | Stacked bar (few categories) or treemap (many) | Pie chart with >5 slices |
| Where does X happen? | Choropleth map or heat map | Pin maps with overlapping markers |
What ships with it
4 files 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.
- 9d ago First seen · 111 lines · 35 tokens per session scan A 5146f5179b6f
dashboard-design is a skill published in the GitHub repository The-AI-Directory-Company/agents-and-skills (2 stars, last pushed 5mo ago), licensed MIT. It adds 35 tokens to every session and 1,493 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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