experiment-tracking SKILL.md skillA

experiment-tracking from skillmedev/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add skillmedev/skills/experiment-tracking@git:20261005.bea4ea5

Pins git:20261005.bea4ea5 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
skillmedev/skills
Path
skills/experiment-tracking/SKILL.md
Versions recorded
3
Latest version
git:20261005.bea4ea5, committed Oct 5, 2026
First version recorded
Jul 5, 2026
Size
7,390 bytes
Repository stars
19
License
MIT

Sets up disciplined ML experiment tracking - run logging schemas, artifact versioning, naming conventions, and reproducibility standards - and produces the run-record template a team actually follows. Use when someone asks "how should we track our ML experiments", "why can't we reproduce this result", "how do I set up MLflow or W&B for the team", or is bootstrapping a new ML project. Do NOT use for analyzing product A/B tests - use ab-test-analyzer instead; for monitoring deployed models use…

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

# Experiment Tracking

An experiment no one can reproduce is a result no one can trust. Disciplined tracking is not overhead - it is the minimum viable scientific practice for ML, and the alternative is a promoted model whose provenance nobody can reconstruct when it misbehaves in production. This skill installs the logging schema, naming discipline, and promotion workflow that make every run auditable.

## Operating procedure

Follow the steps in order: the run schema (Step 2) must exist before naming conventions (Step 3) matter, and reproducibility standards (Step 4) are unenforceable until the schema captures seeds and environments.

### Step 1: Gather inputs

Collect these before touching tooling. Where the answer is unknown, record the default and label it a guess.

1. Team size and collaboration need. Default: solo or small team.
2. Existing tooling, if any (MLflow, Weights and Biases, homegrown spreadsheets).
3. Where artifacts live today (local disk, S3, GCS) - shared object storage is required for teams.
4. Model iteration style: iterative training with epochs (deep learning) or single-fit (trees, linear models). This decides whether per-epoch curves are logged.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add skillmedev/skills/experiment-tracking@sha256:099375a077198f3e

The line at the top of this page pins the label git:20261005.bea4ea5, 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_4gur7cxb26poleeq.svg)](https://markdownregistry.com/a/art_4gur7cxb26poleeq)

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

Versions

The registry has recorded 3 versions of this file, between Jul 5, 2026 and Oct 5, 2026, about one every 46 days.

versioncommittedcommitsizeaudit
git:20261005.bea4ea5 latest2026-10-05 bea4ea5 7,390 BA view · diff
git:20260705.a28c4ce2026-07-05 a28c4ce 7,349 BA view · diff
git:20260705.acb55712026-07-05 acb5571 7,373 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 (7390 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

skillmedev/skills · 19 stars · license MIT · pushed 2026-10-13 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_4gur7cxb26poleeq
GET https://markdownregistry.com/api/v1/resolve?ref=skillmedev/skills/experiment-tracking
GET https://markdownregistry.com/api/v1/blob/099375a077198f3ee1bc75ac1f74f959222593643832e81555edf07abcdf1bce

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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Every file in skillmedev/skills

Other files named experiment-tracking

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