exploratory-data-analysis

exploratory-data-analysis is a skill for Claude Code, Codex from Aho1ic/Aeroric. It costs 89 tokens per session (3,346 once invoked), scanned A, original, no licence file.

A method for examining scientific data files to understand their format, contents, quality, and characteristics. It supports more than 200 file formats and produces a detailed Markdown report.

In plain words
What is it for?
Use it to inspect scientific data files, detect their formats, assess their contents and quality, and create a report.
Why use it?
It reduces the manual work of identifying unfamiliar scientific data and checking whether it is suitable for analysis. Exploratory data analysis means inspecting data before deeper analysis.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to inspect scientific data files, detect their formats, assess their contents and quality, and create a report.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aho1ic/aeroric/exploratory-data-analysis
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 Aho1ic/Aeroric --skill exploratory-data-analysis
Clone the repo
git clone --depth 1 https://github.com/Aho1ic/Aeroric

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 exploratory-data-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/aho1ic/aeroric/exploratory-data-analysis/github.svg)](https://agentmods.dev/skills/aho1ic/aeroric/exploratory-data-analysis)
Your own site
<a href="https://agentmods.dev/skills/aho1ic/aeroric/exploratory-data-analysis"><img src="https://agentmods.dev/badge/skills/aho1ic/aeroric/exploratory-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.

agentmods 80×15 button for exploratory-data-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/aho1ic/aeroric/exploratory-data-analysis"><img src="https://agentmods.dev/badge/skills/aho1ic/aeroric/exploratory-data-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 89 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,346 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.
Origin unknown 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 $0.00089 $0.03346
Opus 5.5 $0.00036 $0.01338
Sonnet 5.5 $0.00018 $0.00669
Haiku 4.5 $0.00009 $0.00335

Measured 7d ago against content hash 600ce47d3cc9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

exploratory-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 7d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/eda_analyzer.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

core/skills/builtin/science/exploratory-data-analysis/SKILL.md · 444 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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. 7d ago First seen · 444 lines · 89 tokens per session scan A 600ce47d3cc9

Subscribe to this mod's changes

exploratory-data-analysis is a skill published in the GitHub repository Aho1ic/Aeroric (62 stars, last pushed yesterday), with no licence file. It adds 89 tokens to every session and 3,346 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-10-31.

Related

exploratory-data-analysis compared with skills from other repositories

exploratory-data-analysis next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
exploratory-data-analysisAho1ic/AeroricSkill62yesterdaynoneA89Claude Code, Codex
instrument-data-to-allotropeanthropics/knowledge-work-pluginsSkill35k2d agoApache-2.0A123Claude Code
exploratory-data-analysisK-Dense-AI/scientific-agent-skillsSkill56k4d agoMITA83Claude Code
matlabK-Dense-AI/scientific-agent-skillsSkill56k4d agoMITA44Claude Code
phylogeneticsK-Dense-AI/scientific-agent-skillsSkill56k4d agoMITA71Claude Code, Codex
research-engineerdavila7/claude-code-templatesSkill33kyesterdayMITA43Claude Code, Codex
mapping-to-snomedmaziyarpanahi/openmedSkill5.8kyesterdayApache-2.0A205Claude Code