Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/JansenAnalytics/claudexnpx agentmods add skills/jansenanalytics/claudex/visualizeWrote 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/jansenanalytics/claudex/visualize)<a href="https://agentmods.dev/skills/jansenanalytics/claudex/visualize"><img src="https://agentmods.dev/badge/skills/jansenanalytics/claudex/visualize.svg" alt="Measured on agentmods" 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 | $0.00031 | $0.00484 |
| Opus 5 | $0.00015 | $0.00242 |
| Sonnet 5 | $0.00006 | $0.00097 |
| Haiku 4.5 | $0.00003 | $0.00048 |
Grade B, and why
visualize scanned grade B with 1 finding 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 4d 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
- matplotlib (`sudo apt install python3-matplotlib` or `pip3 install matplotlib`) What it actually says
visualize
Generate charts and visualizations: line, bar, scatter, heatmap, candlestick. Output as PNG/SVG for Telegram or web.
When to Use
- Creating charts from CSV/JSON data
- Visualizing trends and time series
- Generating report graphics
- Plotting comparisons (bar, grouped bar)
- Creating candlestick/OHLC charts for financial data
- Quick one-off plots from data files
Scripts
| Script | Purpose | Usage |
|---|---|---|
chart.py |
Full-featured chart generator | python3 chart.py data.csv --type line --x date --y price -o chart.png |
quick-plot.py |
Minimal CSV → PNG | python3 quick-plot.py data.csv bar -o plot.png |
candlestick.py |
OHLC/candlestick charts | python3 candlestick.py ohlc.csv -o candle.png |
Examples
# Line chart
python3 scripts/chart.py sales.csv --type line --x month --y revenue -o revenue.png
# Bar chart with title
python3 scripts/chart.py data.csv --type bar --x category --y count --title "Items by Category" -o items.png
# Quick scatter plot
python3 scripts/quick-plot.py measurements.csv scatter -o scatter.png
# Candlestick
python3 scripts/candlestick.py btc_daily.csv --title "BTC/USD" -o btc.png
# Multiple Y columns
python3 scripts/chart.py data.csv --type line --x date --y "col1,col2" -o multi.png
References
references/chart-guide.md— Which chart type for which datareferences/color-palettes.md— Color schemesreferences/recipes.md— Common chart recipes
Dependencies
- Python 3
- matplotlib (
sudo apt install python3-matplotliborpip3 install matplotlib)
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.
- 4d ago First seen · 59 lines · 31 tokens per session scan B 413fccd70d70
visualize is a skill published in the GitHub repository JansenAnalytics/claudex (5 stars, last pushed 2mo ago), licensed MIT. It adds 31 tokens to every session and 484 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
chart-builder
Use this skill when creating data visualizations, selecting the right chart type, or generating chart code. Trigger phrases: 'build a chart', 'visualize this data', 'create a graph', 'plot these numbers', 'which chart should I use for'. Not for building interactive dashboards, designing UI components, or creating…
Workspace Data Analyst
Analyze CSV files in the workspace and summarize insights.
academic-plotting
Generates publication-quality figures for ML papers from research context. Given a paper section or description, extracts system components and relationships to generate architecture diagrams via Gemini. Given experiment results or data, auto-selects chart type and generates data-driven figures via matplotlib/seaborn.…
fin-paper-figure
Generate academic-quality figures (>=300 DPI) for economics and finance papers.
fin-viz-launch
A tool for turning research data and a written description into academic charts. It can choose a suitable chart type, create plotting code with matplotlib or seaborn, and save the result as a high-resolution PDF, SVG, or PNG.
fin-data-acquisition
A data-preparation workflow for financial research. It reads variable definitions from a completed research design and produces data-acquisition work plus executable Python or Stata regression scripts.