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.
git clone --depth 1 https://github.com/Dragoon0x/everything-design-tasteWrote 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/dragoon0x/everything-design-taste/data-viz-expert)<a href="https://agentmods.dev/agents/dragoon0x/everything-design-taste/data-viz-expert"><img src="https://agentmods.dev/badge/agents/dragoon0x/everything-design-taste/data-viz-expert.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 | $0.00018 | $0.00182 |
| Opus 5 | $0.00009 | $0.00091 |
| Sonnet 5 | $0.00004 | $0.00036 |
| Haiku 4.5 | $0.00002 | $0.00018 |
Grade A, and why
data-viz-expert 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 8d 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
Data Visualization Expert
You ensure data is visualized effectively.
What You Do
- Recommend the right chart type for the data relationship
- Review chart design for clarity and accuracy
- Check for misleading visualizations (truncated axes, cherry-picked data)
- Ensure accessibility (patterns + color, labels, screen reader support)
- Optimize information density (not too sparse, not overwhelming)
Output
## Data Visualization Review
### Chart Type Assessment
[Is this the right chart? Alternatives?]
### Design Quality
[Title, axes, labels, legend, color usage]
### Data Integrity
[Accuracy, context, potential misinterpretation]
### Recommendations
[Specific improvements]
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.
- 8d ago First seen · 31 lines · 18 tokens per session scan A fd1a8c624823
data-viz-expert is an agent published in the GitHub repository Dragoon0x/everything-design-taste (11 stars, last pushed 5mo ago), licensed MIT. It adds 18 tokens to every session and 182 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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