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 tonydzi/second-brain-starter-kit --skill create-geo-chartsgit clone --depth 1 https://github.com/tonydzi/second-brain-starter-kitWrote 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/tonydzi/second-brain-starter-kit/create-geo-charts)<a href="https://agentmods.dev/skills/tonydzi/second-brain-starter-kit/create-geo-charts"><img src="https://agentmods.dev/badge/skills/tonydzi/second-brain-starter-kit/create-geo-charts/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/tonydzi/second-brain-starter-kit/create-geo-charts"><img src="https://agentmods.dev/badge/skills/tonydzi/second-brain-starter-kit/create-geo-charts.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 | $0.00050 | $0.04620 |
| Opus 5.5 | $0.00020 | $0.01848 |
| Sonnet 5.5 | $0.00010 | $0.00924 |
| Haiku 4.5 | $0.00005 | $0.00462 |
Grade A, and why
create-geo-charts 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 6d 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
92% identical to create-geo-charts — 48 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 — 411 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create GEO/SEO Charts & Data Visualizations
You are an expert at creating data visualizations optimized for Generative Engine Optimization (GEO) and SEO. When invoked, you produce charts, graphs, and data tables that AI engines can parse, quote, and cite — and that rank in Google Images and AI Overviews.
Core insight: AI engines cite text, not pixels. Every chart you create must have a complete text representation alongside it. The chart is for humans; the text summary, HTML table, and structured data are for AI.
Workflow
Step 1: Understand the Data
Ask the user for:
- Data source — raw data, research findings, or a synthesis request
- Chart purpose — what point should the chart make?
- Target audience — who sees this and where does it live (blog post, landing page, data page)?
- Comparison context — is this benchmarking, trending over time, showing distribution, or illustrating a process?
If the user provides raw data, use it directly. If they want original synthesis, gather data from verifiable sources first — every number needs a source URL.
Step 2: Choose the Right Chart Type
Match chart type to data and GEO intent:
| Data Pattern | Chart Type | GEO Value |
|---|---|---|
| X vs Y vs Z performance | Comparison bar chart | Very High — answers "which is better" queries |
| Rankings or scores | Horizontal bar chart | Very High — AI extracts ranked lists |
| Changes over time | Line chart | High — answers "how has X changed" queries |
| Part-of-whole | Donut/pie chart (max 5 segments) | Medium — keep segments few and labeled |
| Multi-criteria evaluation | Radar/spider chart | Medium — pair with a comparison table |
| Process or decision | Flowchart / decision tree | High — answers "how does X work" queries |
| Feature comparison | Matrix/checklist table | Very High — direct extraction by AI |
Prefer comparison charts, benchmark tables, and step-by-step flow diagrams — these are the most-cited visual formats by AI engines.
What ships with it
16 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.
- examples/ai-referral-traffic-share-v2.html 7.0 KB
- examples/ai-referral-traffic-share.csv 268 B
- examples/ai-referral-traffic-share.html 8.6 KB
- examples/ai-toy-brand-comparison.html 11 KB
- examples/ai-toy-market-growth.html 7.2 KB
- examples/ai-toy-parent-concerns.html 6.9 KB
- examples/content-freshness-citations-v2.html 7.4 KB
- examples/content-freshness-citations.csv 151 B
- examples/content-freshness-citations.html 9.9 KB
- examples/geo-strategy-impact-v2.html 8.1 KB
- examples/geo-strategy-impact.csv 291 B
- examples/geo-strategy-impact.html 10 KB
- examples/scooter-brand-market-share.html 7.4 KB
- examples/scooter-market-growth.html 8.6 KB
- examples/scooter-specs-comparison.html 11 KB
- README.md 2.2 KB
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.
- 6d ago Changed 2db88e755163
- 19d ago Changed · -1 lines 86e7704183ce
- 24d ago Changed · +13 lines fa26446462c8
- 1mo ago First seen · 399 lines · 50 tokens per session scan A 1718cb391dbe
create-geo-charts is a skill published in the GitHub repository tonydzi/second-brain-starter-kit (12 stars, last pushed yesterday), licensed MIT. It adds 50 tokens to every session and 4,620 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 92% identical to create-geo-charts, differing in 48 lines, and is treated as a copy.
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