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 fabioc-aloha/Alex_Skill_Mall --skill data-storytellinggit clone --depth 1 https://github.com/fabioc-aloha/Alex_Skill_MallWrote 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/fabioc-aloha/alex_skill_mall/data-storytelling)<a href="https://agentmods.dev/skills/fabioc-aloha/alex_skill_mall/data-storytelling"><img src="https://agentmods.dev/badge/skills/fabioc-aloha/alex_skill_mall/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.
<a href="https://agentmods.dev/skills/fabioc-aloha/alex_skill_mall/data-storytelling"><img src="https://agentmods.dev/badge/skills/fabioc-aloha/alex_skill_mall/data-storytelling.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 | $0.00038 | $0.01779 |
| Opus 5 | $0.00019 | $0.00890 |
| Sonnet 5 | $0.00008 | $0.00356 |
| Haiku 4.5 | $0.00004 | $0.00178 |
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 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 — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data Storytelling
| Property | Value |
|---|---|
| Domain | Data Analytics |
| Category | Narrative & Orchestration |
| Components | SKILL.md + data-storytelling.instructions.md + datastory.prompt.md |
| Depends | data-analysis (findings), data-visualization (charts), dashboard-design (layout) |
Overview
This is the orchestrator skill. It transforms raw data into a complete, coherent narrative by activating analysis, visualization, and dashboard skills in sequence. The output is a self-contained artifact -- typically an HTML dashboard or scrollable report -- where every chart, annotation, and KPI serves the story.
The cardinal rule: data stories have arguments, not just observations. A collection of charts with captions is a report. A data story says "here's what happened, here's why it matters, and here's what we should do."
Module 1: Three-Act Data Structure
Every data story follows this arc:
| Act | Purpose | Content |
|---|---|---|
| Setup | Establish context and baseline | Who, what, when, where + "here's how things were" |
| Conflict | Reveal the surprise, problem, or gap | "But then this happened" / "X is not what we expected" |
| Resolution | Deliver insight and recommendation | "This means X, and we should do Y" |
Act Mapping to Dashboard Components
| Act | Dashboard Element |
|---|---|
| Setup | KPI cards showing baseline stats |
| Conflict | Hero chart revealing the anomaly |
| Resolution | Supporting charts + annotated insight |
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 · 175 lines · 38 tokens per session scan A 34c632a20f3e
data-storytelling is a skill published in the GitHub repository fabioc-aloha/Alex_Skill_Mall (4 stars, last pushed yesterday), licensed MIT. It adds 38 tokens to every session and 1,779 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 2026-09-03.
Other skills, from other repositories
apply-change-leadership
Use when a manager's team is experiencing a significant organizational change — restructuring, strategy shift, leadership change, layoffs, or major process transition — and needs leadership that maintains team stability, preserves trust, and converts uncertainty into direction.
apply-cross-functional-leadership
Use when a manager needs to lead a project or initiative that depends on team members or stakeholders they do not formally manage — to build voluntary cooperation, alignment, and momentum across organizational boundaries through influence rather than authority.
apply-grow-coaching
Use when a manager wants to help a direct report solve a problem, develop a skill, or reach a goal through structured questioning rather than advice-giving — because telling people answers builds dependency while coaching builds self-sufficiency.
apply-upward-influence
Use when a manager needs to build an effective working relationship with their own manager, secure resources or decisions for their team, or influence organizational priorities without formal authority over the outcome.
build-psychological-safety
Use when a team leader wants to assess and improve the degree to which team members feel safe to speak up, admit mistakes, ask questions, and disagree — because psychological safety is the strongest predictor of team learning and high performance.
run-performance-improvement-plan
Use when a direct report has a documented pattern of performance falling below role expectations — after informal feedback has not produced sustained change — to create a structured, time-bound plan with clear success criteria before making a continuation decision.