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 charlieviettq/awesome-agent-skill --skill data-dashboard-designgit clone --depth 1 https://github.com/charlieviettq/awesome-agent-skillWrote 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/charlieviettq/awesome-agent-skill/data-dashboard-design)<a href="https://agentmods.dev/skills/charlieviettq/awesome-agent-skill/data-dashboard-design"><img src="https://agentmods.dev/badge/skills/charlieviettq/awesome-agent-skill/data-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/charlieviettq/awesome-agent-skill/data-dashboard-design"><img src="https://agentmods.dev/badge/skills/charlieviettq/awesome-agent-skill/data-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 | $0.00086 | $0.01364 |
| Opus 5 | $0.00043 | $0.00682 |
| Sonnet 5 | $0.00017 | $0.00273 |
| Haiku 4.5 | $0.00009 | $0.00136 |
Grade A, and why
"data-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.
This is a copy
97% identical to data-dashboard-design — 8 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dashboard Design
Framework
IRON LAW: One Dashboard, One Audience, One Purpose
A dashboard that tries to serve the CEO, the marketing team, AND the
engineers will serve none of them well. Each audience has different
questions, different metrics, and different time horizons.
CEO: "Are we growing?" → North Star + revenue + key trends
Marketing: "Which campaigns work?" → CAC, ROAS, conversion by channel
Engineering: "Is the system healthy?" → Latency, error rate, uptime
KPI Hierarchy (Pyramid Structure)
[North Star Metric]
/ \
[L1: 3-5 Business KPIs]
/ | \
[L2: Driving Metrics per KPI]
/ | | | \
[L3: Diagnostic / Operational Metrics]
- North Star: ONE metric that best captures value delivery (DAU, MRR, GMV)
- L1: Business KPIs that drive the North Star (retention, acquisition, monetization)
- L2: Driving metrics teams can act on (conversion rate, ARPU, churn rate)
- L3: Diagnostic metrics for debugging (page load time, error rate, funnel step conversion)
Chart Type Selection
| Question | Chart | Why |
|---|---|---|
| How is the trend? | Line chart | Shows change over time |
| How do categories compare? | Bar chart (horizontal for many categories) | Easy comparison |
| What's the composition? | Stacked bar or pie (use sparingly, < 5 slices) | Shows parts of whole |
| What's the distribution? | Histogram or box plot | Shows spread and outliers |
| What's the relationship? | Scatter plot | Shows correlation |
| Where's the geographic pattern? | Map / choropleth | Spatial patterns |
| What's the single number? | Scorecard / big number | At-a-glance status |
| How are we vs target? | Gauge or bullet chart | Progress tracking |
Design Principles
- 5-second rule: The dashboard's main message should be clear within 5 seconds
- Above the fold: Most important metrics visible without scrolling
- Consistent time range: All charts on one dashboard should use the same time period by default
- Color with purpose: Use color to encode meaning (red = bad, green = good), not decoration
- Comparison context: Every number needs context — vs prior period, vs target, vs benchmark
- Progressive disclosure: Summary at top → click/drill to detail
What ships with it
3 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 · 125 lines · 86 tokens per session scan A 6e48f240f103
"data-dashboard-design" is a skill published in the GitHub repository charlieviettq/awesome-agent-skill (26 stars, last pushed 1mo ago), licensed MIT. It adds 86 tokens to every session and 1,364 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to data-dashboard-design, differing in 8 lines, and is treated as a copy.
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