data-storytelling

data-storytelling is a skill for Claude Code, Codex from foryourhealth111-pixel/Vibe-Skills. It costs 34 tokens per session (2,838 once invoked), scanned A, original, Apache-2.0.

A method for explaining data through evidence, context, narrative structure, and charts.

In plain words
What is it for?
It is for analytics presentations, executive reports, investor materials, recommendations, and other data-based explanations.
Why use it?
It helps turn raw figures into findings that non-technical readers can understand and use.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit It is for analytics presentations, executive reports, investor materials, recommendations, and other data-based explanations.

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Install with agentmods
npx agentmods add skills/foryourhealth111-pixel/vibe-skills/data-storytelling
About the project

Vibe-Skills is a collection and routing system that helps AI agents discover, select, and coordinate specialized skills for completing tasks. It is intended for agents that need to organize workflows across many installed capabilities. The catalogue entries are skills and an agent belonging to this system.

foryourhealth111-pixel/Vibe-Skills · 3,252 stars · on GitHub

Install

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.

Any agent
npx skills add foryourhealth111-pixel/Vibe-Skills --skill data-storytelling
Clone the repo
git clone --depth 1 https://github.com/foryourhealth111-pixel/Vibe-Skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for data-storytelling

README.md
[![agentmods](https://agentmods.dev/badge/skills/foryourhealth111-pixel/vibe-skills/data-storytelling/github.svg)](https://agentmods.dev/skills/foryourhealth111-pixel/vibe-skills/data-storytelling)
Your own site
<a href="https://agentmods.dev/skills/foryourhealth111-pixel/vibe-skills/data-storytelling"><img src="https://agentmods.dev/badge/skills/foryourhealth111-pixel/vibe-skills/data-storytelling/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.

agentmods 80×15 button for data-storytelling

Your own site · 80×15
<a href="https://agentmods.dev/skills/foryourhealth111-pixel/vibe-skills/data-storytelling"><img src="https://agentmods.dev/badge/skills/foryourhealth111-pixel/vibe-skills/data-storytelling.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,838 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00034 $0.02838
Opus 5 $0.00017 $0.01419
Sonnet 5 $0.00007 $0.00568
Haiku 4.5 $0.00003 $0.00284

Measured 13d ago against content hash 5ab8643ba05c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

data-storytelling 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 13d 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.

Origin

Copies of this mod

4 near-identical copies found in the catalogue:

bundled/skills/data-storytelling/SKILL.md · 454 lines

How it starts

The opening of the file, as written. The whole thing — 454 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Data Storytelling

Transform raw data into compelling narratives that drive decisions and inspire action.

When to Use This Skill

  • Presenting analytics to executives
  • Creating quarterly business reviews
  • Building investor presentations
  • Writing data-driven reports
  • Communicating insights to non-technical audiences
  • Making recommendations based on data

Core Concepts

1. Story Structure

Setup → Conflict → Resolution

Setup: Context and baseline
Conflict: The problem or opportunity
Resolution: Insights and recommendations

2. Narrative Arc

1. Hook: Grab attention with surprising insight
2. Context: Establish the baseline
3. Rising Action: Build through data points
4. Climax: The key insight
5. Resolution: Recommendations
6. Call to Action: Next steps

3. Three Pillars

Pillar Purpose Components
Data Evidence Numbers, trends, comparisons
Narrative Meaning Context, causation, implications
Visuals Clarity Charts, diagrams, highlights

Story Frameworks

Framework 1: The Problem-Solution Story

# Customer Churn Analysis

## The Hook

"We're losing $2.4M annually to preventable churn."

## The Context

- Current churn rate: 8.5% (industry average: 5%)
- Average customer lifetime value: $4,800
- 500 customers churned last quarter

## The Problem

Analysis of churned customers reveals a pattern:

- 73% churned within first 90 days
- Common factor: < 3 support interactions
- Low feature adoption in first month

## The Insight

[Show engagement curve visualization]
Customers who don't engage in the first 14 days
are 4x more likely to churn.

## The Solution

1. Implement 14-day onboarding sequence
2. Proactive outreach at day 7
3. Feature adoption tracking

## Expected Impact

- Reduce early churn by 40%
- Save $960K annually
- Payback period: 3 months

## Call to Action

Approve $50K budget for onboarding automation.

Read the full file on GitHub · 454 lines

Changes

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.

  1. 13d ago First seen · 454 lines · 34 tokens per session scan A 5ab8643ba05c

Subscribe to this mod's changes

data-storytelling is a skill published in the GitHub repository foryourhealth111-pixel/Vibe-Skills (3,252 stars, last pushed 12d ago), licensed Apache-2.0. It adds 34 tokens to every session and 2,838 once invoked, about $0.0002 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.