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 danielrosehill/Claude-Data-Visualisation-And-Publishing-Plugin --skill tool-inventorygit clone --depth 1 https://github.com/danielrosehill/Claude-Data-Visualisation-And-Publishing-PluginWrote 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/danielrosehill/claude-data-visualisation-and-publishing-plugin/tool-inventory)<a href="https://agentmods.dev/skills/danielrosehill/claude-data-visualisation-and-publishing-plugin/tool-inventory"><img src="https://agentmods.dev/badge/skills/danielrosehill/claude-data-visualisation-and-publishing-plugin/tool-inventory/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/danielrosehill/claude-data-visualisation-and-publishing-plugin/tool-inventory"><img src="https://agentmods.dev/badge/skills/danielrosehill/claude-data-visualisation-and-publishing-plugin/tool-inventory.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 | $0.00044 | $0.03137 |
| Opus 5 | $0.00022 | $0.01569 |
| Sonnet 5 | $0.00009 | $0.00627 |
| Haiku 4.5 | $0.00004 | $0.00314 |
Grade A, and why
tool-inventory 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 8d 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
86% identical to bmorphism-stars — 300 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 — 220 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data Visualisation Tool Inventory
This is a curated, purpose-first catalogue. It exists so that when a task arrives, the right tool can be located by jumping to the matching section rather than reasoning from scratch.
This is a guide, not a cage. Every entry here has been validated as a sensible default for its category. If none of them fit, reach for whatever works — but start here, because the categories below cover the overwhelming majority of real-world dataviz work.
How to use
- Identify the task's primary purpose from the section headings below (e.g. "Graph / network", "Geospatial maps", "Story-driven animation").
- Jump to that section.
- Pick from the listed tools — each entry notes the sweet spot.
- If nothing in the matching section fits, scan adjacent sections before going off-inventory.
1. Static publication figures (Python / R / C++)
For print, PDF reports, journal figures, Typst embeds — anywhere the output is a high-DPI PNG / SVG / PDF.
| Tool | Repo | Sweet spot |
|---|---|---|
| Matplotlib | https://github.com/matplotlib/matplotlib | Default for any Python static figure |
| Seaborn | https://github.com/mwaskom/seaborn | Statistical plots on top of Matplotlib — distributions, regressions, facets |
| ggplot2 | https://github.com/tidyverse/ggplot2 | The R classic; grammar of graphics; default for R workflows |
| matplotplusplus | https://github.com/alandefreitas/matplotplusplus | C++ projects needing Matplotlib-style output without Python |
2. Interactive web charts — general purpose
For embedding in blog posts, web apps, dashboards, static reports. Canvas or SVG output, runs in the browser.
| Tool | Repo | Sweet spot |
|---|---|---|
| Chart.js | https://github.com/chartjs/Chart.js | Simple canvas charts, ubiquitous, low ceremony |
| Chartist | https://github.com/chartist-js/chartist | Lightweight, responsive SVG |
| Apache ECharts | https://github.com/apache/echarts | Rich built-in chart types, dashboards, annotation-heavy work |
| ApexCharts | https://github.com/apexcharts/apexcharts.js | Modern SVG charts with good defaults; easy React/Vue/Angular wrappers |
| C3 | https://github.com/c3js/c3 | D3-backed wrapper, straightforward API |
| charts.css | https://github.com/ChartsCSS/charts.css | Pure CSS — no JS, great for static/email-safe charts |
| Plotly.js | https://github.com/plotly/plotly.js | Scientific chart types in JS; same API as Python Plotly |
| Highcharts | https://github.com/highcharts/highcharts | Classic polished charts; ubiquitous; commercial licence for commercial use |
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.
- 8d ago First seen · 220 lines · 44 tokens per session scan A 6e369c3fd0b5
tool-inventory is a skill published in the GitHub repository danielrosehill/Claude-Data-Visualisation-And-Publishing-Plugin (2 stars, last pushed 4mo ago), licensed MIT. It adds 44 tokens to every session and 3,137 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to bmorphism-stars, differing in 300 lines, and is treated as a copy.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…