Vizro is an open-source Python toolkit for assembling data visualization applications from low-code configuration. It helps developers create dashboards and multi-page apps from charts, tables, controls, layouts, navigation, and interactions, with optional high-code customization. Catalogue add-ons support working with Vizro projects.
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 mckinsey/vizro --skill dashboard-designgit clone --depth 1 https://github.com/mckinsey/vizroWrote 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/mckinsey/vizro/dashboard-design)<a href="https://agentmods.dev/skills/mckinsey/vizro/dashboard-design"><img src="https://agentmods.dev/badge/skills/mckinsey/vizro/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/mckinsey/vizro/dashboard-design"><img src="https://agentmods.dev/badge/skills/mckinsey/vizro/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 | $0.00071 | $0.02072 |
| Opus 5 | $0.00036 | $0.01036 |
| Sonnet 5 | $0.00014 | $0.00414 |
| Haiku 4.5 | $0.00007 | $0.00207 |
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 10d 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 — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Designing Vizro Dashboards
Structured requirements → layout → visualization workflow.
Workflow execution
Run Steps 1–3 in order; each step depends on the prior. Track progress:
Dashboard Development Progress:
- [ ] Step 1: Understand Requirements (define end user, dashboard goals, document decisions)
- [ ] Step 2: Design Layout & Interactions (wireframes, filter placement)
- [ ] Step 3: Select Visualizations (chart types, KPIs; colors only if user asked)
Interaction style: When gathering requirements or making design decisions, ask focused questions and present 2–5 numbered options so the user can choose quickly. Prefer using your client’s built-in multiple-choice or question UI to keep the interaction lightweight and clickable; if that isn’t available, use the same numbered format in plain text
Do not skip steps. Handle partial context as follows:
- User has data but no requirements → Start at Step 1
- User has requirements but no data → Ask for data or suggest sample data
- User has wireframes → Validate Step 1 decisions, then proceed from Step 2
- User has visual designs/mockups → Validate Steps 1-2 decisions, then proceed from Step 3
- User asks to "just build it" → Explain value of steps, offer to streamline but not skip, ask for data or suggest sample data
For simple dashboards (single page, less than 5 charts): Steps 1-3 can be abbreviated but not skipped entirely.
Spec Files: Documenting Decisions
IMPORTANT: Each step produces a spec file in the spec/ directory to document reasoning, enable collaboration, and allow resumption in future sessions. Create the spec/ directory at project start.
Step 1: Understand Requirements
Goal: Define WHAT information is presented and WHY it matters.
Key Questions to Discuss
- Users: Who are the end users of this dashboard? Per user type: What decisions do they need to make? What task/job do they need to accomplish?
- Goals: What is the current problem to solve? What is the goal of this dashboard?
- Data: What sources are available? What's the refresh frequency?
- Structure: How many pages or views? What's the logical grouping?
What ships with it
6 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.
- 10d ago First seen · 176 lines · 71 tokens per session scan A 6f45ee69ef21
dashboard-design is a skill published in the GitHub repository mckinsey/vizro (3,789 stars, last pushed today), licensed Apache-2.0. It adds 71 tokens to every session and 2,072 once invoked, about $0.0004 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 2026-08-30.
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