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exploratory-data-analysis

exploratory-data-analysis is a skill for Claude Code from halflifezyf2680/Skill-Shelf. It costs 83 tokens per session (3,394 once invoked), scanned A, original, no licence file.

A skill for exploratory data analysis, the early examination of a dataset to understand its structure, quality, contents, and unusual values. It works with scientific files in more than 200 formats and creates detailed Markdown reports.

In plain words
What is it for?
Use it to inspect scientific files, identify their format, assess their data, and generate an analysis report.
Why use it?
It helps reveal what a scientific data file contains and whether it has quality problems before deeper analysis.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

not rated 4repo changed yesterday A scan 83 tokens custom licence

Good fit Use it to inspect scientific files, identify their format, assess their data…

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/halflifezyf2680/skill-shelf/exploratory-data-analysis
View source ↗ halflifezyf2680/Skill-Shelf
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 halflifezyf2680/Skill-Shelf --skill exploratory-data-analysis
Clone the repo
git clone --depth 1 https://github.com/halflifezyf2680/Skill-Shelf

Made for: Claude Code.

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/halflifezyf2680/skill-shelf/exploratory-data-analysis.svg)](https://agentmods.dev/skills/halflifezyf2680/skill-shelf/exploratory-data-analysis)
Your own site
<a href="https://agentmods.dev/skills/halflifezyf2680/skill-shelf/exploratory-data-analysis"><img src="https://agentmods.dev/badge/skills/halflifezyf2680/skill-shelf/exploratory-data-analysis.svg" alt="Measured on agentmods" height="20"></a>
Per session 83 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,394 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 $0.00083 $0.03394
Opus 5 $0.00042 $0.01697
Sonnet 5 $0.00017 $0.00679
Haiku 4.5 $0.00008 $0.00339

Measured yesterday against content hash 71506b29ce46, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, 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 yesterday.

The scan reads SKILL.md. This mod also ships 13 executable files (scripts/__init__.py, scripts/_capabilities.py, scripts/_common.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.

data/hub/packages/academic-research/exploratory-data-analysis/SKILL.md · 298 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

Files

What ships with it

21 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. yesterday Changed · -147 lines · -6 tokens per session 71506b29ce46
  2. 6d ago First seen · 445 lines · 89 tokens per session scan A 8084fae57c4c

Subscribe to this mod's changes

exploratory-data-analysis is a skill published in the GitHub repository halflifezyf2680/Skill-Shelf (4 stars, last pushed yesterday), with no licence file. It adds 83 tokens to every session and 3,394 once invoked, about $0.0004 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 2026-08-31.

Analytics and metricsScientific
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