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experiment-tracking-swanlab SKILL.md skillA

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

Install it, pinned

mdr add orchestra-research/ai-research-skills/experiment-tracking-swanlab@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade: A, 17 of 17 checks passed
Kind: SKILL.md skill
Repository: orchestra-research/ai-research-skills
Path: 13-mlops/swanlab/SKILL.md
Versions recorded: 4
Latest version: v1.0.0, committed Mar 16, 2026
First version recorded: Mar 15, 2026
Size: 9,759 bytes
Repository stars: 13,718
License: MIT

Provides guidance for experiment tracking with SwanLab. Use when you need open-source run tracking, local or self-hosted dashboards, and lightweight media logging for ML workflows.

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

# SwanLab: Open-Source Experiment Tracking

## When to Use This Skill

Use SwanLab when you need to:
- **Track ML experiments** with metrics, configs, tags, and descriptions
- **Visualize training** with scalar charts and logged media
- **Compare runs** across seeds, checkpoints, and hyperparameters
- **Work locally or self-hosted** instead of depending on managed SaaS
- **Integrate** with PyTorch, Transformers, PyTorch Lightning, or Fastai

**Deployment**: Cloud, local, or self-hosted | **Media**: images, audio, text, GIFs, point clouds, molecules | **Integrations**: PyTorch, Transformers, PyTorch Lightning, Fastai

## Installation

```bash
# Install SwanLab plus the media dependencies used in this skill
pip install "swanlab>=0.7.11" "pillow>=9.0.0" "soundfile>=0.12.0"

# Add local dashboard support for mode="local" and swanlab watch
pip install "swanlab[dashboard]>=0.7.11"

# Optional framework integrations
pip install transformers pytorch-lightning fastai

# Login for cloud or self-hosted usage
swanlab login
```
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint

mdr add orchestra-research/ai-research-skills/experiment-tracking-swanlab@sha256:14b0f74e6383e4e4

The line at the top of this page pins the label v1.0.0, 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](https://markdownregistry.com/badge/art_thgwnhk3qse2zujp.svg)](https://markdownregistry.com/a/art_thgwnhk3qse2zujp)

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

Versions

The registry has recorded 4 versions of this file, between Mar 15, 2026 and Mar 16, 2026, more than one a day.

version	committed	commit	size	audit
v1.0.0 latest	2026-03-16	650e5e5	9,759 B	A	view · diff
v1.0.0	2026-03-16	bb3b5c0	9,610 B	A	view · diff
v1.0.0	2026-03-16	b76166a	9,206 B	A	view · diff
v1.0.0	2026-03-15	8dee49c	11,270 B	A	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 (9759 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

orchestra-research/ai-research-skills · 13,718 stars · license MIT · pushed 2026-10-11 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_thgwnhk3qse2zujp
GET https://markdownregistry.com/api/v1/resolve?ref=orchestra-research/ai-research-skills/experiment-tracking-swanlab
GET https://markdownregistry.com/api/v1/blob/14b0f74e6383e4e43cc78785706b43f0343801ba96c14b56284142203be48eff

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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