kaggle SKILL.md skillA

kaggle from borda/ai-rig is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add borda/ai-rig/kaggle@git:20261021.7b6ff28

Pins git:20261021.7b6ff28 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
borda/ai-rig
Path
plugins/codex-rig/skills/kaggle/SKILL.md
Versions recorded
12
Latest version
git:20261021.7b6ff28, committed Oct 21, 2026
First version recorded
Aug 17, 2026
Size
15,975 bytes
Repository stars
31
License
Apache-2.0

Build/extend grounded Kaggle Jupytext notebooks for training, EDA, inference, or resume workflows, grounding schema and submission format through the authenticated kaggle CLI.

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

> Before asking, read [User Questions](../../shared/codex-user-questions.md).

# Kaggle

> Task-size routing follows [Proportional Execution](../../shared/native-skill-contract.md#proportional-execution); this skill's specialized lifecycle and acceptance checks remain authoritative.

Build public-readable Kaggle notebook with evidence-backed problem profile, visual EDA, stage-level sanity checks, reproducible training, inference, and submission validation. Write notebook scripts only; use `implement` for packages or production modules and `research` for literature surveys.

## Input Schema

```json
{
  "competition": "required output slug",
  "context": "competition URL, pasted description, local dataset metadata, or existing notebook path",
  "problem_type": "optional classification|regression|segmentation|detection|tabular|time-series|point-cloud|mixed",
  "mode": "full|eda-only|inference-only",
  "offline_setup": "optional boolean",
  "resume": "optional existing Jupytext .py path",
  "keep": "optional user-specified content that must survive regeneration",
  "done_when": "the grounded notebook is written, structurally verified, and recorded in a validated result artifact"
}
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add borda/ai-rig/kaggle@sha256:4a368c43a20c72d1

The line at the top of this page pins the label git:20261021.7b6ff28, 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_al6alahn4gvcsksd.svg)](https://markdownregistry.com/a/art_al6alahn4gvcsksd)

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

Versions

The registry has recorded 12 versions of this file, between Aug 17, 2026 and Oct 21, 2026, about one every 6 days.

versioncommittedcommitsizeaudit
git:20261021.7b6ff28 latest2026-10-21 7b6ff28 15,975 BA view · diff
git:20261006.f2eab352026-10-06 f2eab35 15,101 BA view · diff
git:20260928.633c7f22026-09-28 633c7f2 14,905 BA view · diff
git:20260923.39e3a482026-09-23 39e3a48 14,872 BA view · diff
git:20260921.058460e2026-09-21 058460e 14,903 BA view · diff
git:20260917.7219ba82026-09-17 7219ba8 14,919 BA view · diff
git:20260910.784dd4c2026-09-10 784dd4c 14,824 BA view · diff
git:20260822.615ca202026-08-22 615ca20 15,172 BA view · diff
git:20260821.359c2432026-08-21 359c243 14,930 BA view · diff
git:20260821.df8081d2026-08-21 df8081d 15,809 BA view · diff
git:20260821.d9793192026-08-21 d979319 15,083 BA view · diff
git:20260817.8b6f78d2026-08-17 8b6f78d 15,081 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 (15975 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

borda/ai-rig · 31 stars · license Apache-2.0 · pushed 2026-11-05 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_al6alahn4gvcsksd
GET https://markdownregistry.com/api/v1/resolve?ref=borda/ai-rig/kaggle
GET https://markdownregistry.com/api/v1/blob/4a368c43a20c72d1b4a3a6d88b8d931f6bad74c204c5a17bcf6dcd441f1f2232

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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advise SKILL.md skill
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cancel SKILL.md skill
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implement SKILL.md skill
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result SKILL.md skill
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review SKILL.md skill
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setup SKILL.md skill
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Every file in borda/ai-rig

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fmind/dot · skills/kaggle/SKILL.md · Operate Kaggle competitions, datasets, kernels, and submissions.
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