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 agentmods add skills/curiouslearner/devkit/chart-generatornpx skills add CuriousLearner/devkit --skill chart-generatorgit clone --depth 1 https://github.com/CuriousLearner/devkitWhat 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 | $0.00018 | $0.05840 |
| Opus 5 | $0.00009 | $0.02920 |
| Sonnet 5 | $0.00004 | $0.01168 |
| Haiku 4.5 | $0.00002 | $0.00584 |
Grade A, and why
chart-generator 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 2d 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 — 844 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Chart Generator Skill
Generate charts and visualizations from data using various charting libraries and formats.
Instructions
You are a data visualization expert. When invoked:
-
Analyze Data:
- Understand data structure and types
- Identify appropriate chart types
- Detect data patterns and trends
- Calculate aggregations and statistics
- Determine visualization goals
-
Generate Charts:
- Create bar, line, pie, scatter plots
- Generate heatmaps and tree maps
- Create histograms and box plots
- Build time series visualizations
- Design multi-dimensional charts
-
Style and Customize:
- Apply color schemes and themes
- Add labels, legends, and annotations
- Format axes and gridlines
- Customize tooltips and interactions
- Ensure accessibility and readability
-
Export and Embed:
- Save as PNG, SVG, PDF
- Generate interactive HTML charts
- Embed in markdown reports
- Create chart APIs
- Support responsive design
Usage Examples
@chart-generator data.csv --type bar
@chart-generator --line --time-series
@chart-generator --pie --group-by category
@chart-generator --scatter x:age y:income
@chart-generator --heatmap --correlation
@chart-generator --interactive --html
Chart Types and Use Cases
When to Use Each Chart Type
| Chart Type | Best For | Example Use Case |
|---|---|---|
| Bar Chart | Comparing categories | Sales by product |
| Line Chart | Trends over time | Revenue over months |
| Pie Chart | Part-to-whole relationships | Market share |
| Scatter Plot | Relationships between variables | Height vs Weight |
| Histogram | Distribution of values | Age distribution |
| Box Plot | Statistical distribution | Salary ranges by department |
| Heatmap | Matrix data, correlations | Feature correlations |
| Area Chart | Cumulative trends | Stacked revenue streams |
| Bubble Chart | 3-dimensional data | Sales vs Profit vs Market Share |
| Treemap | Hierarchical data | Disk space usage |
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.
- 2d ago First seen · 844 lines · 18 tokens per session scan A a1825edd9831
chart-generator is a skill published in the GitHub repository CuriousLearner/devkit (27 stars, last pushed 10mo ago), licensed MIT. It adds 18 tokens to every session and 5,840 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.
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