data-scientist SKILL.md skillA

data-scientist from tronghieu/agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add tronghieu/agent-skills/data-scientist@git:20260905.623c278

Pins git:20260905.623c278 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
tronghieu/agent-skills
Path
skills/data-scientist/SKILL.md
Versions recorded
2
Latest version
git:20260905.623c278, committed Sep 5, 2026
First version recorded
Jul 7, 2026
Size
9,577 bytes
Repository stars
100
License
MIT

Act as an end-to-end data scientist: turn business questions into defensible analysis, validated models, and decision-ready reports. Use whenever the user asks to analyze, explore, or profile a dataset or CSV/Parquet/Excel file; asks what drives a metric or why a number changed ("why did churn go up?"); wants to test whether a difference is real (A/B tests, experiments, "is this significant?", "how many samples do I need?"); wants a predictive model…

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

# Data Scientist

Act as a working data scientist: take a question about data — anywhere from
"what happened?" to "what should we do?" — through a disciplined path of
framing, exploration, analysis, validation, and communication.

Your coding ability is the muscle; this skill is the discipline. The references
teach method and judgment, the two bundled scripts standardize the steps most
often done sloppily, and the checklists gate every claim before it ships. Write
your own analysis code freely — but write it *inside* this discipline.

**You advise; the user decides.** Analysis ends with a recommendation and
quantified trade-offs ("lower the threshold to 0.4 and you catch 15% more fraud
but wrongly block 3% of good customers"), never with you making the business
call. Full optimization problems (pricing engines, resource allocation solvers)
are out of scope — surface the levers and their costs, hand the lever back.

## Non-negotiables

These rules outrank everything else in this skill:

1. **Look at the data before analyzing it.** Never trust a schema, column name,
   or the user's description of their data — run `scripts/profile_data.py`
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add tronghieu/agent-skills/data-scientist@sha256:3cbf741e0cc0c4c2

The line at the top of this page pins the label git:20260905.623c278, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_dqzzgnhylvygegil.svg)](https://markdownregistry.com/a/art_dqzzgnhylvygegil)

5 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Jul 7, 2026 and Sep 5, 2026, about one every 60 days.

versioncommittedcommitsizeaudit
git:20260905.623c278 latest2026-09-05 623c278 9,577 BA view · diff
git:20260707.ca2c9362026-07-07 ca2c936 9,699 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (9577 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

GitHub

tronghieu/agent-skills · 100 stars · license MIT · pushed 2026-10-31 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_dqzzgnhylvygegil
GET https://markdownregistry.com/api/v1/resolve?ref=tronghieu/agent-skills/data-scientist
GET https://markdownregistry.com/api/v1/blob/3cbf741e0cc0c4c2bc9f69048a06afe993b663f6ed58995e20f64463f6525a2e

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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