Home / unlayer-ai / automodel · GitHub

automodel SKILL.md skillA

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

Install it, pinned
mdr add unlayer-ai/automodel/automodel@git:20260726.f2b33f0

Pins git:20260726.f2b33f0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
unlayer-ai/automodel
Path
automodel/SKILL.md
Versions recorded
2
Latest version
git:20260726.f2b33f0, committed Jul 26, 2026
First version recorded
Jun 9, 2026
Size
2,896 bytes
Repository stars
2
License
Apache-2.0

Guides the user in discovering a better model structure (e.g. from feature transformations in logistic regression to equation terms within PDEs to neural network layer compositions) out of data. Use when the user asks to create or improve an existing model. Uses an iterative meta/inner agent loop to explore structural model modifications in parallel.

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

# automodel
A structured guide to discovering models from data with agents.
Focuses on the structure of the model (be it equation terms or neural network layers) rather than just parameter values, using an iterative meta/inner agent loop to explore structural modifications in parallel. Applies to a wide range of tasks, from simple regression to complex physical systems, from automotive to pharmacology.

## Phases

This skill is organized into four sequential phases, each with a detailed recipe in `assets/phases/`:

| Phase | Recipe | Entry signal |
|---|---|---|
| **1 — Setup** | `assets/phases/1_setup.md` | No `CONTEXT.md` artifact in project root |
| **2 — Baseline Model** | `assets/phases/2_baseline_model.md` | `CONTEXT.md` exists; Some prep work done; |
| **3 — Iterate** | `assets/phases/3_iterate.md` | End-to-end pipeline verified for baseline model (resume from the highest existing `meta_*/` directory) |
| **4 — Finalize** | `assets/phases/4_finalize.md` | User satisfied with validation performance; `CONTEXT.md` points to best model |

Each phase updates `CONTEXT.md`. Use the resulting artifacts as re-entry signals when resuming.

## How to start
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add unlayer-ai/automodel/automodel@sha256:bdeb99050932f78a

The line at the top of this page pins the label git:20260726.f2b33f0, 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_u7wmlgigv5qpi5kr.svg)](https://markdownregistry.com/a/art_u7wmlgigv5qpi5kr)

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

Versions

The registry has recorded 2 versions of this file, between Jun 9, 2026 and Jul 26, 2026, about one every 47 days.

versioncommittedcommitsizeaudit
git:20260726.f2b33f0 latest2026-07-26 f2b33f0 2,896 BA view · diff
git:20260609.035334d2026-06-09 035334d 2,532 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 (2896 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

unlayer-ai/automodel · 2 stars · license Apache-2.0 · pushed 2026-10-22 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_u7wmlgigv5qpi5kr
GET https://markdownregistry.com/api/v1/resolve?ref=unlayer-ai/automodel/automodel
GET https://markdownregistry.com/api/v1/blob/bdeb99050932f78ab7b0b7bde6afa274db42a03c0762b9a08ec66ec07f0224bc

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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