compare SKILL.md skillA

compare 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/compare@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/compare/SKILL.md
Versions recorded
4
Latest version
git:20261030.b34f8aa, committed Oct 30, 2026
First version recorded
Apr 30, 2026
Size
7,133 bytes
Repository stars
452
License
MIT

Same-epoch comparison and analysis of training runs across wandb, neptune, tensorboard, mlflow, or local result files. Aligns runs at the student's current step (never current-vs-final-of-baseline) and separates proxy metrics from downstream targets. Also writes run summaries and experiment reports, analyzes ablations, and monitors training. Use when the user asks to compare runs, check if a run is improving, track lag against a baseline, rank experiments, evaluate run-vs-run performance…

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

# Compare: same-epoch run comparison across trackers

The most common comparison error is reporting "run A is 4 percentage points behind baseline" when run A is at epoch 11 of 100 and the baseline number is from epoch 100. The student is _still training_; the comparison is meaningless. This skill enforces same-epoch alignment.

The agentic Stop hook routes here from `reason` when an assistant reports a delta without aligning the runs.

If the question is "why did X fail / diverge / underperform", go to `/labrat:debug` first.

## Auto-detect the tracker

Check in this order:

1. `WANDB_API_KEY` env var set, or `wandb` imports or a `*.yaml` config with wandb keys in the project → **wandb**
2. `NEPTUNE_API_TOKEN` env var set, or a `*.yaml` config with neptune keys → **neptune**
3. `MLFLOW_TRACKING_URI` env var set, or `mlruns/` dir present → **mlflow**
4. `runs/` or `lightning_logs/` dir present → **tensorboard**
5. `*results*.json` / `*meta*.json` / `eval*.csv` files in run dirs → **local file format**: read one sample file and write the analysis code for that format, not a hardcoded script

If none, ask the user where metrics live before guessing.

## The protocol
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add fcakyon/labrat/compare@sha256:82ae8b99a906f928

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_x6aimjdyecezstnm.svg)](https://markdownregistry.com/a/art_x6aimjdyecezstnm)

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 7,133 BA view · diff
git:20261030.3dd54cf2026-10-30 3dd54cf 7,145 BA view · diff
git:20261030.183f1812026-10-30 183f181 4,800 BA view · diff
git:20260430.e4e97e02026-04-30 e4e97e0 4,798 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 (7133 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_x6aimjdyecezstnm
GET https://markdownregistry.com/api/v1/resolve?ref=fcakyon/labrat/compare
GET https://markdownregistry.com/api/v1/blob/82ae8b99a906f92869506f6ba069960d1564fbc34526bf11f01b4b69999ee2f0

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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