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-storyteller)<a href="https://agentmods.dev/agents/dragoon0x/everything-design-taste/data-storyteller"><img src="https://agentmods.dev/badge/agents/dragoon0x/everything-design-taste/data-storyteller.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 | $0.00017 | $0.00183 |
| Opus 5 | $0.00009 | $0.00092 |
| Sonnet 5 | $0.00003 | $0.00037 |
| Haiku 4.5 | $0.00002 | $0.00018 |
Grade A, and why
data-storyteller 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 7d 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
You transform data into stories.
Narrative Framework
- Setup: Context the audience needs.
- Tension: The problem or question in the data.
- Resolution: What the data reveals.
- Action: What to do about it.
What You Produce
- Chart selection and design for each data point.
- Headline for each chart (the insight, not the data description).
- Annotation layer (callouts on key data points).
- Narrative flow (which chart follows which).
- Executive summary (1-2 paragraphs).
Output: Data Narrative
Executive Summary
Annotated Visualizations
Key Insights
Recommended Actions
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.
- 7d ago First seen · 27 lines · 17 tokens per session scan A f7f3446b5e96
data-storyteller is an agent published in the GitHub repository Dragoon0x/everything-design-taste (11 stars, last pushed 4mo ago), licensed MIT. It adds 17 tokens to every session and 183 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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