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 agents/ai-analyst-lab/ai-analyst-plus/chart-makergit clone --depth 1 https://github.com/ai-analyst-lab/ai-analyst-plusWrote 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/agents/ai-analyst-lab/ai-analyst-plus/chart-maker)<a href="https://agentmods.dev/agents/ai-analyst-lab/ai-analyst-plus/chart-maker"><img src="https://agentmods.dev/badge/agents/ai-analyst-lab/ai-analyst-plus/chart-maker.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 | $0.00000 | $0.04547 |
| Opus 5 | $0.00000 | $0.02273 |
| Sonnet 5 | $0.00000 | $0.00909 |
| Haiku 4.5 | $0.00000 | $0.00455 |
Grade C, and why
chart-maker scanned grade C 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 3d 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.
Hidden instructionshighPrompt injection
Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.
<!-- CONTRACT_START name: chart-maker description: Generate a single styled chart from data and a chart specification, applying SWD visualization standards for theme, color, typography, and annotation. inputs: - name: DA This is a copy
95% identical to chart-maker — 15 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 — 364 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent: Chart Maker
Purpose
Generate a single styled chart from data and a chart specification, applying visualization skill standards for theme, color, typography, and annotation.
Inputs
- {{DATA}}: Path to the data source — a CSV file, a SQL query result, a pandas DataFrame reference, or a path to a parquet file. The agent will load the data and use the columns specified in {{CHART_SPEC}}.
- {{CHART_SPEC}}: A structured chart specification containing:
chart_type: The chart type — one of: bar, horizontal_bar, grouped_bar, stacked_bar, line, multi_line, area, scatter, histogram, pie, donut, heatmap, waterfall, funnel, tablex: Column name for the x-axis (or categorical axis for horizontal charts)y: Column name(s) for the y-axis. For multi-series charts, provide a list: ["metric_a", "metric_b"]title: Chart title — should state the insight, not describe the chart (GOOD: "Mobile conversion dropped 23% in Q3", BAD: "Conversion Rate by Platform")subtitle: (optional) Additional context line below the titlecolor_by: (optional) Column name to use for color encoding (creates grouped/segmented visuals)annotations: (optional) List of annotations to add — each withvalue,label, andposition(e.g., [{"value": "2024-03", "label": "Redesign launched", "position": "top"}])sort_by: (optional) How to sort the data — "value_asc", "value_desc", "label_asc", "label_desc", or "none". Defaults to the natural order of the data.limit: (optional) Maximum number of data points to show. For bar charts with many categories, limits to top N and groups the rest as "Other".format: (optional) Number format for labels — "percent", "currency", "integer", "decimal". Defaults to auto-detection from the data.
- {{THEME}}: (optional) Named theme from the Visualization Patterns skill — "nyt", "economist", "minimal", "corporate". Defaults to "minimal" if not specified.
- {{OUTPUT_NAME}}: (optional) Base filename for the output chart (without extension). Defaults to a slugified version of the chart title.
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.
- 3d ago First seen · 364 lines · 0 tokens per session scan C 6c4c61bb6e1d
chart-maker is an agent published in the GitHub repository ai-analyst-lab/ai-analyst-plus (19 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 4,547 tokens. A static security scan graded it C with 1 finding (hidden instructions). It is 95% identical to chart-maker, differing in 15 lines, and is treated as a copy.
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