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/bytedance/deer-flow/chart-visualizationnpx skills add bytedance/deer-flow --skill chart-visualizationgit clone --depth 1 https://github.com/bytedance/deer-flowWhat 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 | $0.00050 | $0.00775 |
| Opus 5 | $0.00025 | $0.00387 |
| Sonnet 5 | $0.00010 | $0.00155 |
| Haiku 4.5 | $0.00005 | $0.00077 |
Grade A, and why
chart-visualization 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.
Copies of this mod
8 near-identical copies found in the catalogue:
- chart-visualization — 100% identical, 0 lines differ
- chart-visualization — 100% identical, 0 lines differ
- chart-visualization — 100% identical, 0 lines differ
- chart-visualization — 100% identical, 0 lines differ
- chart-visualization — 95% identical, 2 lines differ
- chart-visualization — 95% identical, 2 lines differ
- chart-visualization — 95% identical, 2 lines differ
- chart-visualization — 89% identical, 6 lines differ
How it starts
The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Chart Visualization Skill
This skill provides a comprehensive workflow for transforming data into visual charts. It handles chart selection, parameter extraction, and image generation.
Workflow
To visualize data, follow these steps:
1. Intelligent Chart Selection
Analyze the user's data features to determine the most appropriate chart type. Use the following guidelines (and consult references/ for detailed specs):
- Time Series: Use
generate_line_chart(trends) orgenerate_area_chart(accumulated trends). Usegenerate_dual_axes_chartfor two different scales. - Comparisons: Use
generate_bar_chart(categorical) orgenerate_column_chart. Usegenerate_histogram_chartfor frequency distributions. - Part-to-Whole: Use
generate_pie_chartorgenerate_treemap_chart(hierarchical). - Relationships & Flow: Use
generate_scatter_chart(correlation),generate_sankey_chart(flow), orgenerate_venn_chart(overlap). - Maps: Use
generate_district_map(regions),generate_pin_map(points), orgenerate_path_map(routes). - Hierarchies & Trees: Use
generate_organization_chartorgenerate_mind_map. - Specialized:
generate_radar_chart: Multi-dimensional comparison.generate_funnel_chart: Process stages.generate_liquid_chart: Percentage/Progress.generate_word_cloud_chart: Text frequency.generate_boxplot_chartorgenerate_violin_chart: Statistical distribution.generate_network_graph: Complex node-edge relationships.generate_fishbone_diagram: Cause-effect analysis.generate_flow_diagram: Process flow.generate_spreadsheet: Tabular data or pivot tables for structured data display and cross-tabulation.
2. Parameter Extraction
Once a chart type is selected, read the corresponding file in the references/ directory (e.g., references/generate_line_chart.md) to identify the required and optional fields.
Extract the data from the user's input and map it to the expected args format.
What ships with it
27 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.
- references/generate_area_chart.md 1.5 KB
- references/generate_bar_chart.md 1.4 KB
- references/generate_boxplot_chart.md 1.0 KB
- references/generate_column_chart.md 1.3 KB
- references/generate_district_map.md 1.6 KB
- references/generate_dual_axes_chart.md 1.2 KB
- references/generate_fishbone_diagram.md 911 B
- references/generate_flow_diagram.md 996 B
- references/generate_funnel_chart.md 950 B
- references/generate_histogram_chart.md 1.0 KB
- references/generate_line_chart.md 1.1 KB
- references/generate_liquid_chart.md 985 B
- references/generate_mind_map.md 855 B
- references/generate_network_graph.md 952 B
- references/generate_organization_chart.md 934 B
- references/generate_path_map.md 878 B
- references/generate_pie_chart.md 1011 B
- references/generate_pin_map.md 991 B
- references/generate_radar_chart.md 977 B
- references/generate_sankey_chart.md 1.0 KB
- references/generate_scatter_chart.md 1.0 KB
- references/generate_spreadsheet.md 1.6 KB
- references/generate_treemap_chart.md 966 B
- references/generate_venn_chart.md 933 B
- references/generate_violin_chart.md 1.0 KB
- references/generate_word_cloud_chart.md 878 B
- scripts/generate.js 4.1 KB runs code
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 · 73 lines · 50 tokens per session scan A eb44160e5a51
chart-visualization is a skill published in the GitHub repository bytedance/deer-flow (81,233 stars, last pushed today), licensed MIT. It adds 50 tokens to every session and 775 once invoked, about $0.0003 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.
Other skills, from other repositories
skill-creator
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
github-deep-research
Conduct multi-round deep research on any GitHub Repo. Use when users request comprehensive analysis, timeline reconstruction, competitive analysis, or in-depth investigation of GitHub. Produces structured markdown reports with executive summaries, chronological timelines, metrics analysis, and Mermaid diagrams.…
claude-to-deerflow
Interact with DeerFlow AI agent platform via its HTTP API. Use this skill when the user wants to send messages or questions to DeerFlow for research/analysis, start a DeerFlow conversation thread, check DeerFlow status or health, list available models/skills/agents in DeerFlow, manage DeerFlow memory, upload files to…
video-generation
Use this skill when the user requests to generate, create, or imagine videos. Supports structured prompts and reference image for guided generation.
chart-visualization
This skill should be used when the user wants to visualize data. It intelligently selects the most suitable chart type from 26 available options, extracts parameters based on detailed specifications, and generates a chart image using a JavaScript script.
consulting-analysis
Use this skill when the user requests to generate, create, or write professional research reports including but not limited to market analysis, consumer insights, brand analysis, financial analysis, industry research, competitive intelligence, investment due diligence, or any consulting-grade analytical report. This…