dashboard-design

dashboard-design is a skill for Codex from jeremylongworth-source/AgentSkills. It costs 51 tokens per session (292 once invoked), scanned A, original, MIT.

A specification for a dashboard, a screen that presents selected measurements and reports for a particular audience or decision.

In plain words
What is it for?
It helps plan KPI definitions, charts, filters, segments, drilldowns, thresholds, annotations, refresh timing, and publication checks.
Why use it?
It prevents dashboards from becoming collections of unexplained numbers by defining useful metrics, context, data quality notes, and viewer actions.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Codex.

Good fit It helps plan KPI definitions, charts, filters, segments, drilldowns, thresholds, annotations, refresh timing, and publication checks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jeremylongworth-source/agentskills/dashboard-design
Install

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.

Any agent
npx skills add jeremylongworth-source/AgentSkills --skill dashboard-design
Clone the repo
git clone --depth 1 https://github.com/jeremylongworth-source/AgentSkills

Made for: Codex.

Wrote 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.

agentmods badge for dashboard-design

README.md
[![agentmods](https://agentmods.dev/badge/skills/jeremylongworth-source/agentskills/dashboard-design/github.svg)](https://agentmods.dev/skills/jeremylongworth-source/agentskills/dashboard-design)
Your own site
<a href="https://agentmods.dev/skills/jeremylongworth-source/agentskills/dashboard-design"><img src="https://agentmods.dev/badge/skills/jeremylongworth-source/agentskills/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.

agentmods 80×15 button for dashboard-design

Your own site · 80×15
<a href="https://agentmods.dev/skills/jeremylongworth-source/agentskills/dashboard-design"><img src="https://agentmods.dev/badge/skills/jeremylongworth-source/agentskills/dashboard-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 292 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00051 $0.00292
Opus 5 $0.00026 $0.00146
Sonnet 5 $0.00010 $0.00058
Haiku 4.5 $0.00005 $0.00029

Measured 7d ago against content hash 77ea970356f0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

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.

skills/dashboard-design/SKILL.md · 44 lines

What it actually says

Dashboard Design

Core Workflow

  1. Identify dashboard audience, decisions supported, refresh cadence, and source systems.
  2. Select metrics that answer the decision, not every available number.
  3. Define layout, sections, charts, filters, segments, drilldowns, thresholds, and annotations.
  4. Include metric definitions, caveats, data quality indicators, and owner.
  5. Specify actions a viewer should take from each section.
  6. Add validation and review steps before publication.

Safety Rules

  • Do not invent numbers, charts, metric definitions, or source systems.
  • Do not publish executive, financial, customer, or compliance dashboards without source and reviewer confirmation.
  • Do not use dashboards to imply causation without evidence.

Deliverable Shape

For dashboard specs, provide:

  • Audience and decision purpose
  • Metric list and definitions
  • Layout and chart plan
  • Filters and segments
  • Drilldowns and annotations
  • Data quality and caveats
  • Action rules
  • Review and refresh cadence

References

  • Read references/dashboard-design-checklist.md when designing or reviewing a dashboard.
Files

What ships with it

2 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.

Changes

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.

  1. 7d ago First seen · 44 lines · 51 tokens per session scan A 77ea970356f0

Subscribe to this mod's changes

dashboard-design is a skill published in the GitHub repository jeremylongworth-source/AgentSkills (1 stars, last pushed 8d ago), licensed MIT. It adds 51 tokens to every session and 292 once invoked, about $0.0003 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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