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/gtmagents/gtm-agents/visualization-patternsnpx skills add gtmagents/gtm-agents --skill visualization-patternsgit clone --depth 1 https://github.com/gtmagents/gtm-agentsWrote 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/gtmagents/gtm-agents/visualization-patterns)<a href="https://agentmods.dev/skills/gtmagents/gtm-agents/visualization-patterns"><img src="https://agentmods.dev/badge/skills/gtmagents/gtm-agents/visualization-patterns.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 | $0.00019 | $0.00256 |
| Opus 5 | $0.00010 | $0.00128 |
| Sonnet 5 | $0.00004 | $0.00051 |
| Haiku 4.5 | $0.00002 | $0.00026 |
Grade A, and why
visualization-patterns 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 5d 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.
What it actually says
Analytics Visualization Patterns Skill
When to Use
- Planning a new dashboard or updating existing visualizations.
- Coaching teams on self-serve analytics adoption.
- Auditing visual design, accessibility, and narrative clarity.
Framework
- Audience & Story – clarify persona, decision cadence, and key questions.
- Layout & Hierarchy – organize tiles by funnel (overview → drill-down → diagnostic), highlight KPIs.
- Chart Selection – match metric type to chart (trend, composition, comparison, distribution).
- Accessibility – color contrast, labels, tooltips, mobile/responsive considerations.
- Narrative & Actions – annotate insights, embed CTA buttons or playbook links.
Templates
- Dashboard wireframe grid with KPI slots.
- Metric dictionary (definition, source, owner, refresh schedule).
- Adoption checklist (stakeholder review, enablement session, feedback form).
Tips
- Keep hero KPIs at top-left with trend vs target.
- Use consistent color palettes for good/bad variance.
- Embed documentation or Loom walkthroughs directly in BI tool when possible.
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.
- 5d ago First seen · 31 lines · 19 tokens per session scan A e9f9ca2191dc
visualization-patterns is a skill published in the GitHub repository gtmagents/gtm-agents (396 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 19 tokens to every session and 256 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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