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-analysisgit 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-analysis)<a href="https://agentmods.dev/skills/fabioc-aloha/alex_skill_mall/data-analysis"><img src="https://agentmods.dev/badge/skills/fabioc-aloha/alex_skill_mall/data-analysis/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-analysis"><img src="https://agentmods.dev/badge/skills/fabioc-aloha/alex_skill_mall/data-analysis.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 | $0.00027 | $0.02390 |
| Opus 5 | $0.00014 | $0.01195 |
| Sonnet 5 | $0.00005 | $0.00478 |
| Haiku 4.5 | $0.00003 | $0.00239 |
Grade A, and why
data-analysis 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 — 220 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data Analysis
| Property | Value |
|---|---|
| Domain | Data Analytics |
| Category | Analysis & Insight Extraction |
| Components | SKILL.md + data-analysis.instructions.md + analyze.prompt.md |
| Depends | data-visualization (chart output), data-ingest.cjs (ingestion) |
Overview
Turn raw data into actionable insight statements. This skill covers the full EDA pipeline: profiling the dataset, exploring distributions, finding correlations, detecting anomalies, and -- critically -- translating statistical findings into business-language narratives tagged with story intents for downstream visualization.
The cardinal rule: statistics are not insights. "Mean revenue is $4.2M" is a statistic. "Revenue grew 34% YoY but growth is decelerating -- Q3 peak was 8% vs. 22% last year" is an insight.
Module 1: Data Profiling
First pass on any dataset. Compute before exploring.
| Metric | What It Tells You | Red Flag |
|---|---|---|
| Row count | Dataset scale | <100 rows limits statistical power |
| Column count | Dimensionality | >50 columns suggests feature bloat |
| Null percentage | Data completeness | >20% nulls in key column = unreliable |
| Unique count | Cardinality | Unique count = row count → likely ID |
| Type inference | String/number/date/boolean | Mixed types in same column = dirty |
| Memory estimate | Processing feasibility | >500MB warns for browser context |
| Duplicate rows | Data quality | >1% duplicates needs dedup decision |
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 · 220 lines · 27 tokens per session scan A 0e3fe5784642
data-analysis is a skill published in the GitHub repository fabioc-aloha/Alex_Skill_Mall (4 stars, last pushed yesterday), licensed MIT. It adds 27 tokens to every session and 2,390 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 2026-09-03.
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