reproducible-training-runs SKILL.md skillA

reproducible-training-runs from yeaight7/agent-powerups is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add yeaight7/agent-powerups/reproducible-training-runs@git:20260605.597546b

Pins git:20260605.597546b in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
yeaight7/agent-powerups
Path
plugins/machine-learning-ops/skills/reproducible-training-runs/SKILL.md
Versions recorded
2
Latest version
git:20260605.597546b, committed Jun 5, 2026
First version recorded
May 2, 2026
Size
2,226 bytes
Repository stars
8
License
Apache-2.0

Use when reviewing or modifying ML training scripts that must produce identical results across runs or machines -- runs with the "same" config differ, or a past result must be reconstructed exactly.

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

## Purpose

Enforce seed setting, deterministic operations, and environment tracking so a training run can be reproduced exactly.

## When to Use

- Reviewing or modifying a training script that must be deterministic
- Two runs with the "same" configuration produced different results
- A past result needs to be reconstructed exactly

## Inputs

- A target Python training script

## Workflow

1. **Global seed initialization**: ensure a single function sets seeds for all relevant libraries (`random`, `numpy`, `torch`, `tensorflow`).
2. **Deterministic algorithms**: for PyTorch or TensorFlow, check that deterministic algorithms are enabled (e.g., `torch.use_deterministic_algorithms(True)`).
3. **Data loading**: verify data loaders use deterministic shuffling and that worker processes are seeded correctly to avoid identical augmentations.
4. **Environment & config tracking**: ensure the script logs the exact configuration, dependency versions, and data hashes.
5. **Review first**: point out missing reproducibility guards before rewriting the script. Provide the exact seed-initialization snippet — do not hide side effects.

## Output
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add yeaight7/agent-powerups/reproducible-training-runs@sha256:06e1c09aea6c0ca8

The line at the top of this page pins the label git:20260605.597546b, 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_ofk5pig6jmcdkkta.svg)](https://markdownregistry.com/a/art_ofk5pig6jmcdkkta)

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

Versions

The registry has recorded 2 versions of this file, between May 2, 2026 and Jun 5, 2026, about one every 34 days.

versioncommittedcommitsizeaudit
git:20260605.597546b latest2026-06-05 597546b 2,226 BA view · diff
git:20260502.2ab90812026-05-02 2ab9081 1,430 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 (2226 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

yeaight7/agent-powerups · 8 stars · license Apache-2.0 · pushed 2026-09-27 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ofk5pig6jmcdkkta
GET https://markdownregistry.com/api/v1/resolve?ref=yeaight7/agent-powerups/reproducible-training-runs
GET https://markdownregistry.com/api/v1/blob/06e1c09aea6c0ca8a522bca985ead058eeac3458671fec40af7c17b453f4ad21

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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