reproduce SKILL.md skillA

reproduce from fcakyon/labrat is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add fcakyon/labrat/reproduce@git:20261030.b34f8aa

Pins git:20261030.b34f8aa in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
fcakyon/labrat
Path
plugin/skills/reproduce/SKILL.md
Versions recorded
4
Latest version
git:20261030.b34f8aa, committed Oct 30, 2026
First version recorded
Apr 30, 2026
Size
4,532 bytes
Repository stars
452
License
MIT

End-to-end paper reproduction from arxiv URL through smoke runs to replication experiments. Handles missing or partial official code, missing training scripts, missing hyperparameters, and private datasets via similar-public-dataset substitution. Use when the user asks to reproduce, implement, replicate, or re-run a paper from scratch, or pastes an arxiv URL with reproduction intent.

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

# Reproduce: paper reproduction from scratch

Reproducing an ML paper often means filling gaps the authors didn't ship, training scripts, hyperparameter tables, augmentation specifics, exact dataset splits. This skill walks seven stages from "I have an arxiv link" to "I have a replication run with measurable delta vs the paper's number."

Each stage has a separate reference file under `references/` so this overview stays scannable.

## When to run

The user just said any of:

- "reproduce / implement / replicate / re-run paper X"
- pasted an arxiv URL with reproduction intent ("can you redo this", "let's try this approach")
- pointed at an OpenReview / proceedings link with the same intent
- said "the paper has no code, can we build it"

## Workflow

| Stage | What                                                           | Reference                                                      |
| ----- | -------------------------------------------------------------- | -------------------------------------------------------------- |
| 1     | Paper acquisition (CLI + PDF → structured extract)            | [references/01-paper-fetch.md](references/01-paper-fetch.md)   |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add fcakyon/labrat/reproduce@sha256:b0547496276fe2da

The line at the top of this page pins the label git:20261030.b34f8aa, 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_amuodzsnhssbvgi4.svg)](https://markdownregistry.com/a/art_amuodzsnhssbvgi4)

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

Versions

The registry has recorded 4 versions of this file, between Apr 30, 2026 and Oct 30, 2026, about one every 61 days.

versioncommittedcommitsizeaudit
git:20261030.b34f8aa latest2026-10-30 b34f8aa 4,532 BA view · diff
git:20261030.3dd54cf2026-10-30 3dd54cf 4,548 BA view · diff
git:20261011.50df7162026-10-11 50df716 4,543 BA view · diff
git:20260430.e4e97e02026-04-30 e4e97e0 4,544 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 (4532 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

fcakyon/labrat · 452 stars · license MIT · pushed 2026-11-01 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_amuodzsnhssbvgi4
GET https://markdownregistry.com/api/v1/resolve?ref=fcakyon/labrat/reproduce
GET https://markdownregistry.com/api/v1/blob/b0547496276fe2da9ba5a7799e681f5dac5a1a3c4ac7135ad68aa059962c3e9e

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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