exploratory-data-analysis SKILL.md skillA
exploratory-data-analysis from jaechang-hits/sciagent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add jaechang-hits/sciagent-skills/exploratory-data-analysis@git:20260428.81ea2d2Pins git:20260428.81ea2d2 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- jaechang-hits/sciagent-skills
- Path
skills/scientific-computing/exploratory-data-analysis/SKILL.md- Versions recorded
- 3
- Latest version
- git:20260428.81ea2d2, committed Apr 28, 2026
- First version recorded
- Feb 18, 2026
- Size
- 12,613 bytes
- Repository stars
- 381
- License
- a license file GitHub does not identify
Methodology for exploratory data analysis on scientific files. Decision frameworks by data type (tabular, sequence, image, spectral, structural, omics), quality assessment, report generation, format detection across 200+ formats. Use when given a data file for initial exploration or to pick an analysis before a pipeline.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Exploratory Data Analysis for Scientific Data ## Overview Exploratory data analysis (EDA) is the systematic examination of scientific data files to understand their structure, content, quality, and characteristics before formal analysis. This knowhow covers methodology for detecting file types, selecting appropriate analysis approaches, assessing data quality, and generating comprehensive reports across all major scientific data domains. ## Key Concepts ### Scientific Data Type Categories | Category | Common Formats | Typical Analysis | Key Libraries | |----------|---------------|-----------------|---------------| | **Tabular** | CSV, TSV, XLSX, Parquet | Summary statistics, distributions, correlations, missing values | pandas, polars | | **Sequence** | FASTA, FASTQ, SAM/BAM | Length distribution, quality scores, GC content, alignment stats | BioPython, pysam | | **Image/Microscopy** | TIFF, ND2, CZI, DICOM | Dimensions (XYZCT), intensity stats, metadata, calibration | tifffile, aicsimageio, nd2reader | | **Spectral** | mzML, SPC, JCAMP, FID | Peak detection, baseline, S/N ratio, resolution | pymzml, nmrglue, pyteomics | …
Read the whole file at its exact version.
How to install
mdr add jaechang-hits/sciagent-skills/exploratory-data-analysis@sha256:26855fee2351824aThe line at the top of this page pins the label git:20260428.81ea2d2, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_ozebjwqo4uzmz7r5)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Feb 18, 2026 and Apr 28, 2026, about one every 35 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260428.81ea2d2 latest | 2026-04-28 | 81ea2d2 | 12,613 B | A | view · diff |
| git:20260218.abd91d6 | 2026-02-18 | abd91d6 | 12,729 B | A | view · diff |
| git:20260218.e460066 | 2026-02-18 | e460066 | 12,776 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (12613 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
jaechang-hits/sciagent-skills · 381 stars · license a license file GitHub does not identify · pushed 2026-10-16 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_ozebjwqo4uzmz7r5 GET https://markdownregistry.com/api/v1/resolve?ref=jaechang-hits/sciagent-skills/exploratory-data-analysis GET https://markdownregistry.com/api/v1/blob/26855fee2351824a271746e5d79aa496cc04b1883af581a0a7796fd0fbf76723
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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