nutmeg-analyse SKILL.md skillA

nutmeg-analyse from withqwerty/nutmeg is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add withqwerty/nutmeg/nutmeg-analyse@git:20261010.3c7d5af

Pins git:20261010.3c7d5af in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
withqwerty/nutmeg
Path
skills/analyse/SKILL.md
Versions recorded
9
Latest version
git:20261010.3c7d5af, committed Oct 10, 2026
First version recorded
Mar 25, 2026
Size
6,737 bytes
Repository stars
55
License
none declared

Explore and interpret football data, and judge players or teams from stats: rankings, 'who is the best', 'is he a poor finisher', comparisons, headlines and social posts about stats. Use for match events, team and player comparisons and tactical patterns, at the user's level.

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

# Analyse

Help the user explore and interpret football data. Adapt depth and approach to their experience level from `.nutmeg.user.md`.

## Accuracy

Read and follow `${CLAUDE_PLUGIN_ROOT}/docs/accuracy-guardrail.md` before answering any question about provider-specific facts (IDs, endpoints, schemas, coordinates, rate limits). Always use `search_docs` — never guess from training data.

When you report or compare a metric that has a football-docs metric card (`list_metrics`), read it with `get_metric` and name the variant ID; do not compare values from different variants, and say so when two sources disagree because they use different variants.
## First: check profile

Read `.nutmeg.user.md`. If it doesn't exist, continue with sensible defaults (Python and pandas, intermediate level) and suggest running `/nutmeg` setup at the end.

## Adapt to experience level

### Beginners

Guide them step by step. Start with simple questions:
- "Which team scores the most goals?" (count goals, sort)
- "Who takes the most shots?" (filter shots, group by player)
- "Where do goals come from?" (plot shot locations)
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add withqwerty/nutmeg/nutmeg-analyse@sha256:a29ad167d072ed78

The line at the top of this page pins the label git:20261010.3c7d5af, 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_b2lgbcnwehkmksca.svg)](https://markdownregistry.com/a/art_b2lgbcnwehkmksca)

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

Versions

The registry has recorded 9 versions of this file, between Mar 25, 2026 and Oct 10, 2026, about one every 25 days.

versioncommittedcommitsizeaudit
git:20261010.3c7d5af latest2026-10-10 3c7d5af 6,737 BA view · diff
git:20261010.da113492026-10-10 da11349 6,679 BA view · diff
git:20261009.a7751512026-10-09 a775151 6,841 BA view · diff
git:20261008.9a530e22026-10-08 9a530e2 6,492 BA view · diff
git:20260930.e84c2bd2026-09-30 e84c2bd 6,060 BA view · diff
git:20260329.b4a4e772026-03-29 b4a4e77 5,524 BA view · diff
git:20260327.afcf7442026-03-27 afcf744 5,529 BA view · diff
git:20260325.07b51412026-03-25 07b5141 5,297 BA view · diff
git:20260325.9234f552026-03-25 9234f55 5,290 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 (6737 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

withqwerty/nutmeg · 55 stars · license none declared · pushed 2026-10-14 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_b2lgbcnwehkmksca
GET https://markdownregistry.com/api/v1/resolve?ref=withqwerty/nutmeg/nutmeg-analyse
GET https://markdownregistry.com/api/v1/blob/a29ad167d072ed7876d009f72903efc91062706be7180a231c9bbb285476b289

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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withqwerty/nutmeg · skills/nutmeg/SKILL.md · Football data analytics entry point. Use for any task with football data: xG, match or player stats, scouting, shot…
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withqwerty/nutmeg · skills/review/SKILL.md · Review football data code and visualisations for correctness. Use after building a chart, data pipeline, or analysis…
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withqwerty/nutmeg · skills/store/SKILL.md · Store and publish football data: databases, file formats, cloud storage, project layout, and sharing outputs…
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withqwerty/nutmeg · skills/wrangle/SKILL.md · Clean, filter, reshape, join and convert football data, including missing values and large datasets. Use for any data…
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Every file in withqwerty/nutmeg

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