dashboard-specification

dashboard-specification is a skill for Claude Code, Codex from nimrodfisher/data-analytics-skills. It costs 28 tokens per session (592 once invoked), scanned A, original, MIT.

A written plan for what a dashboard should show, how it should be organised, and what it needs to support.

In plain words
What is it for?
Use it to plan new dashboards, document dashboard requirements, and specify changes to current dashboards.
Why use it?
It gives developers and stakeholders a shared specification before dashboard work begins and helps identify improvements to an existing dashboard.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to plan new dashboards, document dashboard requirements, and specify changes to current dashboards.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nimrodfisher/data-analytics-skills/dashboard-specification
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 nimrodfisher/data-analytics-skills --skill dashboard-specification
Clone the repo
git clone --depth 1 https://github.com/nimrodfisher/data-analytics-skills

Made for: Claude Code, 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-specification

README.md
[![agentmods](https://agentmods.dev/badge/skills/nimrodfisher/data-analytics-skills/dashboard-specification/github.svg)](https://agentmods.dev/skills/nimrodfisher/data-analytics-skills/dashboard-specification)
Your own site
<a href="https://agentmods.dev/skills/nimrodfisher/data-analytics-skills/dashboard-specification"><img src="https://agentmods.dev/badge/skills/nimrodfisher/data-analytics-skills/dashboard-specification/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-specification

Your own site · 80×15
<a href="https://agentmods.dev/skills/nimrodfisher/data-analytics-skills/dashboard-specification"><img src="https://agentmods.dev/badge/skills/nimrodfisher/data-analytics-skills/dashboard-specification.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 592 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 $0.00028 $0.00592
Opus 5.5 $0.00011 $0.00237
Sonnet 5.5 $0.00006 $0.00118
Haiku 4.5 $0.00003 $0.00059

Measured 2mo ago against content hash ce1494b3d48c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

dashboard-specification 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 2mo 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.

04-data-storytelling-visualization/dashboard-specification/SKILL.md · 34 lines

How it starts

The opening of the file, as written. The whole thing — 34 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Dashboard Specification

When to use

  • A new dashboard is being built and developers need a clear brief before starting
  • An existing dashboard is confusing or underused and needs a structured redesign
  • Stakeholders and the data team have different ideas about what a dashboard should show
  • Documenting dashboard requirements as part of a broader data product process
  • Creating a self-service analytics specification that can be handed off without multiple Q&A rounds

Process

  1. Define the purpose — write one sentence: "This dashboard answers [question] for [audience] who need to [decision or action]." If it can't be stated in one sentence, the scope needs narrowing first. See references/dashboard_design_principles.md.
  2. Profile target users — for each audience (executive, manager, IC), document their visit frequency, the primary question they come to answer, and their technical comfort level. Users with different needs usually need different dashboards, not more filters on one.
  3. Define the metric hierarchy — list primary KPIs (hero numbers at the top), secondary supporting metrics, and detail-level breakdowns. A dashboard with more than 10–12 distinct metrics is trying to do too much.
  4. Design the information architecture — sketch the layout using the hero → trends → breakdowns → details pattern. Position the most important information in the top-left. Use references/dashboard_requirements_guide.md for layout patterns.
  5. Specify interactivity — list global filters (date range, region, segment), drill-down paths, click actions, and hover tooltip content. Every filter and drill-down adds complexity; justify each one.
  6. Document data requirements and success criteria — for each metric, record the source table, transformation logic, and refresh frequency. Define how dashboard success will be measured (adoption rate, reduction in ad-hoc requests). Complete assets/dashboard_spec_template.md.

Inputs the skill needs

  • The business question the dashboard is meant to answer
  • A list of candidate metrics (team can provide a rough list; you'll curate it)
  • The primary audience (role, visit frequency, decision they make)
  • Data availability: confirmed source tables and refresh schedules
  • Any constraints: tool (Tableau, Looker, Metabase, etc.), branding guidelines

Read the full file on GitHub · 34 lines

Files

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.

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. 2mo ago First seen · 34 lines · 28 tokens per session scan A ce1494b3d48c

Subscribe to this mod's changes

dashboard-specification is a skill published in the GitHub repository nimrodfisher/data-analytics-skills (518 stars, last pushed 1mo ago), licensed MIT. It adds 28 tokens to every session and 592 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.

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