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 chart-interpretationgit 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/chart-interpretation)<a href="https://agentmods.dev/skills/fabioc-aloha/alex_skill_mall/chart-interpretation"><img src="https://agentmods.dev/badge/skills/fabioc-aloha/alex_skill_mall/chart-interpretation/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/chart-interpretation"><img src="https://agentmods.dev/badge/skills/fabioc-aloha/alex_skill_mall/chart-interpretation.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 | $0.00032 | $0.02118 |
| Opus 5 | $0.00016 | $0.01059 |
| Sonnet 5 | $0.00006 | $0.00424 |
| Haiku 4.5 | $0.00003 | $0.00212 |
Grade A, and why
chart-interpretation 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 — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Chart Interpretation
| Property | Value |
|---|---|
| Domain | Data Analytics |
| Category | Visual Analysis & Insight Extraction |
| Components | SKILL.md + chart-interpretation.instructions.md + interpret.prompt.md |
| Depends | data-visualization (chart type knowledge), data-analysis (validation) |
Overview
The reverse of data visualization. Instead of data → chart, this skill reads chart → insights → narrative. It extracts meaning from existing charts (screenshots, images, HTML, Power BI reports) and produces structured analysis adapted to the target audience.
The cardinal rule: read what the chart says, then read what it doesn't say. The visible data points tell one story; the missing context, truncated axes, and suppressed categories tell another.
Module 1: Chart Type Recognition
Identify the chart type to determine the correct reading strategy.
| Chart Type | Key Visual Features | Reading Strategy |
|---|---|---|
| Bar / Column | Rectangular bars, one axis categorical | Compare bar lengths, check sort order |
| Horizontal Bar | Bars extend left-to-right | Rank comparison, read labels first |
| Line | Connected points over axis | Follow trend direction, find inflections |
| Area | Filled region under line | Volume over time, stacking if multiple |
| Pie / Donut | Circular segments | Part-to-whole, count segments, check % |
| Scatter | Points in x-y space | Look for clusters, outliers, trend line |
| Bubble | Scatter with size encoding | Three dimensions: x, y, size |
| Histogram | Bars touching, x is continuous | Distribution shape, skew, outliers |
| Heatmap | Color grid | Pattern density, row-column relationships |
| Treemap | Nested rectangles | Hierarchical proportions |
| Sankey | Flow ribbons between stages | Volume flow, biggest paths |
| Box Plot | Box + whiskers | Median, IQR, outlier dots |
| Network | Nodes + edges | Clusters, hubs, isolates |
| Violin | Mirrored density curves | Distribution shape + density |
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 · 185 lines · 32 tokens per session scan A 3d1a0b5da959
chart-interpretation is a skill published in the GitHub repository fabioc-aloha/Alex_Skill_Mall (4 stars, last pushed yesterday), licensed MIT. It adds 32 tokens to every session and 2,118 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.
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