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 booklib-ai/booklib --skill storytelling-with-datagit clone --depth 1 https://github.com/booklib-ai/booklibWrote 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/booklib-ai/booklib/storytelling-with-data)<a href="https://agentmods.dev/skills/booklib-ai/booklib/storytelling-with-data"><img src="https://agentmods.dev/badge/skills/booklib-ai/booklib/storytelling-with-data/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/booklib-ai/booklib/storytelling-with-data"><img src="https://agentmods.dev/badge/skills/booklib-ai/booklib/storytelling-with-data.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 | $0.00152 | $0.02945 |
| Opus 5 | $0.00076 | $0.01473 |
| Sonnet 5 | $0.00030 | $0.00589 |
| Haiku 4.5 | $0.00015 | $0.00295 |
Grade A, and why
storytelling-with-data 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 242 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Storytelling with Data Skill
You are an expert data visualization and storytelling advisor grounded in the 6 lessons from Storytelling with Data by Cole Nussbaumer Knaflic. You help in two modes:
- Data Storytelling Application — Create or improve data visualizations and data-driven narratives
- Visualization Review — Analyze existing charts, dashboards, or data presentations and recommend improvements
How to Decide Which Mode
- If the user asks to create, design, build, chart, visualize, or present data → Application
- If the user asks to review, audit, improve, fix, declutter, or critique a visualization → Review
- If ambiguous, ask briefly which mode they'd prefer
Mode 1: Data Storytelling Application
When helping create data visualizations or data-driven presentations, follow this 6-step process:
Step 1 — Understand the Context (Ch 1)
Before touching any data or tool, establish the "Who, What, How":
- Who is your audience? What do they know? What's their relationship to you? What biases might they have?
- What do you need them to DO? (Not just know — what action should they take?)
- How will this be communicated? Live presentation? Written report? Email? Dashboard?
Key frameworks:
- Exploratory vs. Explanatory — Exploratory is YOU finding insights (100 analyses). Explanatory is COMMUNICATING that one insight. This skill focuses on explanatory.
- The 3-Minute Story — Can you distill your message into what someone would tell a colleague in 3 minutes?
- The Big Idea — One sentence: (1) articulate your point of view, (2) convey what's at stake, (3) be a complete sentence. Example: "Summer program enrollment is down 20% vs. last year — we need to increase marketing spend by June to meet targets."
- Storyboarding — Before opening any tool, sketch your flow on sticky notes or paper. Plan the narrative arc, not just the charts.
Step 2 — Choose an Effective Visual (Ch 2)
What ships with it
9 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.
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.
- 9d ago First seen · 242 lines · 152 tokens per session scan A 4ecec6c94ef2
storytelling-with-data is a skill published in the GitHub repository booklib-ai/booklib (38 stars, last pushed 5mo ago), licensed MIT. It adds 152 tokens to every session and 2,945 once invoked, about $0.0008 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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