distribution-profiler SKILL.md skillA
distribution-profiler from ai-analyst-lab/ai-analyst is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add ai-analyst-lab/ai-analyst/distribution-profiler@git:20260902.b370de6Pins git:20260902.b370de6 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- ai-analyst-lab/ai-analyst
- Path
.claude/skills/distribution-profiler/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260902.b370de6, committed Sep 2, 2026
- First version recorded
- Aug 27, 2026
- Size
- 9,539 bytes
- Repository stars
- 322
- License
- MIT
Single-column distribution deep-dive. Profile the statistical distribution of a data column and produce an analytical playbook: distribution identification, valid summary stats, recommended tests, A/B guidance, traps. Trigger on "profile this column", "what distribution is this", "check the distribution", "is this normal", "what test should I use", "check assumptions before A/B test", "how is this data distributed".
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
# Skill: Distribution Profiler ## Purpose Take any numeric data column and produce a complete analytical playbook: identify the distribution, compute the right summary statistics, recommend the correct statistical tests, flag common traps, and give specific A/B testing guidance. This skill exists because the #1 mistake in product analytics is assuming data is normal when it's not — leading to wrong tests, false positives, and misleading dashboards. The profiler catches this automatically. ## When to Use - Before any analysis involving a numeric metric - When the user asks "what distribution is this?" or "what test should I use?" - When checking assumptions for an A/B test - When a user says "profile" or "understand" a metric - Proactively when you notice an analysis is about to use a t-test or OLS on data that hasn't been checked ## Invocation `/distribution-profiler` — profile a data column's distribution ## Instructions ### Step 0: Identify the Target Figure out what column/metric the user wants profiled. This could be: - A specific column name (e.g., "total_amount from orders") - A derived metric (e.g., "revenue per user", "sessions per user per month") …
Read the whole file at its exact version.
How to install
mdr add ai-analyst-lab/ai-analyst/distribution-profiler@sha256:a0bc37ab347f404bThe line at the top of this page pins the label git:20260902.b370de6, 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_oqtx5p2d67csu7dd)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Aug 27, 2026 and Sep 2, 2026, about one every 6 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260902.b370de6 latest | 2026-09-02 | b370de6 | 9,539 B | A | view · diff |
| git:20260827.7ff2e25 | 2026-08-27 | 7ff2e25 | 9,568 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 (9539 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
ai-analyst-lab/ai-analyst · 322 stars · license MIT · pushed 2026-09-30 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_oqtx5p2d67csu7dd GET https://markdownregistry.com/api/v1/resolve?ref=ai-analyst-lab/ai-analyst/distribution-profiler GET https://markdownregistry.com/api/v1/blob/a0bc37ab347f404b8e58d0e4873a8241313c4da93d37398507a0f173fce154f4
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.