rill-canvas

rill-canvas is a skill for Claude Code, Codex from rilldata/agent-skills. It costs 17 tokens per session (8,301 once invoked), scanned A, original, Apache-2.0.

Instructions for building canvas dashboards in Rill, a data-analytics tool. A canvas dashboard is a fixed report layout that combines charts, tables, metrics, and explanatory text.

In plain words
What is it for?
Use it to create executive summaries, compare metrics views, arrange visualizations in custom layouts, and add markdown explanations.
Why use it?
It clarifies when to use a report-style dashboard instead of an exploratory dashboard where users freely filter and investigate data.

Skill for Claude CodeCodex

Part of the agent-skills plugin — 9 skills, 1 MCP server shipped together

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.

agentmods
npx agentmods add skills/rilldata/agent-skills/rill-canvas
Any agent
npx skills add rilldata/agent-skills --skill rill-canvas
Clone the repo
git clone --depth 1 https://github.com/rilldata/agent-skills

Made for: Claude Code, Codex.

Or install agent-skills, the plugin that ships this one along with the rest of its 9 skills, 1 MCP server.

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 rill-canvas

README.md
[![agentmods](https://agentmods.dev/badge/skills/rilldata/agent-skills/rill-canvas.svg)](https://agentmods.dev/skills/rilldata/agent-skills/rill-canvas)
Your own site
<a href="https://agentmods.dev/skills/rilldata/agent-skills/rill-canvas"><img src="https://agentmods.dev/badge/skills/rilldata/agent-skills/rill-canvas.svg" alt="Measured on agentmods" height="20"></a>
Per session 17 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 8,301 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00017 $0.08301
Opus 5 $0.00009 $0.04151
Sonnet 5 $0.00003 $0.01660
Haiku 4.5 $0.00002 $0.00830

Measured 5d ago against content hash 7a8826ab1ea0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

rill-canvas 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 5d 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/rill-canvas/SKILL.md · 1,355 lines

How it starts

The opening of the file, as written. The whole thing — 1,355 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Instructions for developing a canvas dashboard in Rill

Introduction

Canvas dashboards are free-form dashboard resources that display custom chart and table components laid out in a grid. They enable building overview and report-style dashboards with multiple visualizations, similar to traditional business intelligence tools.

Canvas dashboards differ from explore dashboards in important ways:

  • Explore dashboards: Best for explorative analysis, drill-down investigations, and letting users freely slice data by any dimension.
  • Canvas dashboards: Best for fixed reports, executive summaries, or combining multiple metrics views into a single view.

Canvas dashboards are lightweight resources found downstream of metrics views in the project DAG. Each component within a canvas fetches data individually, typically from a metrics view resource.

When to use canvas dashboards:

  • Building executive summaries with KPIs and multiple visualizations
  • Creating report-style dashboards with markdown explanations
  • Comparing metrics across different metrics views
  • Designing custom layouts not possible with explore dashboards

Canvas Structure

A canvas dashboard is defined in a YAML file with type: canvas. Here is the basic structure (most canvas dashboards work great without any of the optional properties here):

type: canvas
display_name: "Sales Overview Dashboard"

# Optional filter settings
filters:
  enable: true
  pinned:
    - region
    - product_category
  required:
    - customer_id      # Dashboard refuses to render until this filter has a value

# Optional time range presets
time_ranges:
  - P7D
  - P30D
  - P90D
  - inf

# Optional maximum dashboard width
max_width: 1400

# Optional theme reference
theme: my_theme

# Default time settings for all components
defaults:
  time_range: P7D
  comparison_mode: time

# Optional security access control
security:
  access: "'{{ .user.domain }}' == 'company.com'"

# Required dashboard content organized in rows
rows:
  - height: 240px
    items:
      - width: 12
        kpi_grid:
          metrics_view: sales_metrics
          measures:
            - total_revenue
            - order_count

  - height: 400px
    items:
      - width: 6
        line_chart:
          metrics_view: sales_metrics
          title: "Revenue Trend"
          x:
            type: temporal
            field: event_time
          y:
            type: quantitative
            field: total_revenue
      - width: 6
        bar_chart:
          metrics_view: sales_metrics
          title: "Revenue by Region"
          color: primary
          x:
            type: nominal
            field: region
            limit: 10
            sort: -y
          y:
            type: quantitative
            field: total_revenue

Read the full file on GitHub · 1,355 lines

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. 5d ago First seen · 1,355 lines · 17 tokens per session scan A 7a8826ab1ea0

Subscribe to this mod's changes

rill-canvas is a skill published in the GitHub repository rilldata/agent-skills (0 stars, last pushed 13d ago), licensed Apache-2.0. It adds 17 tokens to every session and 8,301 once invoked, about $0.0001 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.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

brainstorming

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

obra/superpowers · 37 tokens

auto-perf-optimize

Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.

microsoft/vscode · 62 tokens

chat-perf

Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.

microsoft/vscode · 51 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens