automl-hyperparameter-optimization SKILL.md skillA
automl-hyperparameter-optimization from mindrally/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add mindrally/skills/automl-hyperparameter-optimization@git:20261008.7682ca7Pins git:20261008.7682ca7 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- mindrally/skills
- Path
automl-hyperparameter-optimization/SKILL.md- Versions recorded
- 2
- Latest version
- git:20261008.7682ca7, committed Oct 8, 2026
- First version recorded
- Sep 3, 2026
- Size
- 9,902 bytes
- Repository stars
- 278
- License
- Apache-2.0
Best practices for AutoML and hyperparameter search with Optuna, Ray Tune, and PyCaret, covering search-space design, validation splits, and leakage prevention. Use when tuning model hyperparameters, setting up a pruned or distributed hyperparameter search, designing a nested validation scheme, or evaluating whether an AutoML leaderboard result is production-ready.
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
# AutoML and Hyperparameter Optimization This skill covers designing sound hyperparameter searches and using AutoML tooling (Optuna, Ray Tune, PyCaret, time-series AutoML libraries) without bypassing problem framing, validation design, or explainability. ## Workflow for Running a Hyperparameter Search 1. **Define the target metric and baseline first** — Pick the metric before selecting tooling, and train a simple baseline (linear model, random forest, or naive time-series forecast) with a fixed, minimal search. 2. **Design the validation scheme** — Use nested cross-validation or a final untouched test split for any model-selection claim; use time-aware splits (never shuffled) for time-series problems. 3. **Fit preprocessing inside the fold** — Fit scalers, encoders, and imputers only on the training portion of each fold to prevent leakage. 4. **Define a structured search space** — Use log-scale ranges for learning rates, regularization strength, and tree counts; keep ranges domain-informed rather than arbitrarily broad. …
Read the whole file at its exact version.
How to install
mdr add mindrally/skills/automl-hyperparameter-optimization@sha256:b783296cdf8014deThe line at the top of this page pins the label git:20261008.7682ca7, 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_6emhomdipeoqzdye)
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Versions
The registry has recorded 2 versions of this file, between Sep 3, 2026 and Oct 8, 2026, about one every 35 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261008.7682ca7 latest | 2026-10-08 | 7682ca7 | 9,902 B | A | view · diff |
| git:20260903.9718410 | 2026-09-03 | 9718410 | 9,822 B | A | view |
Audit of the latest version
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- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (9902 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
mindrally/skills · 278 stars · license Apache-2.0 · pushed 2026-10-08 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_6emhomdipeoqzdye GET https://markdownregistry.com/api/v1/resolve?ref=mindrally/skills/automl-hyperparameter-optimization GET https://markdownregistry.com/api/v1/blob/b783296cdf8014de809fc6cc586632fc909ca39a04078d6b3569f4f4e2794dca
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.