baseline-comparison-review skillA
This file is byte-identical to the first copy the registry indexed. Same content hash, same audit grade.
baseline-comparison-review is agent-read markdown (skill) from yeaight7/agent-powerups: Use when a new or more complex ML model is proposed and its value over simple baselines is not yet demonstrated -- before approving a new architecture or replacing an existing heuristic..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
## Purpose Machine learning models add technical debt. A complex model earns its place only by clearly outperforming a "dumb" baseline; this review makes that comparison explicit before a new model is approved. ## When to Use - A new model architecture is proposed for approval - A complex model would replace an existing heuristic or rule - Reported gains have not been compared against any baseline ## Inputs - The candidate model's evaluation results (metric + data split) - The evaluation code, or enough dataset/task detail to define fair baselines ## Workflow 1. **Define the naive baseline**: - Classification: predict the majority class. - Regression: predict the mean or median of the training target. - Time series: predict the last known value (naive persistence). 2. **Define the heuristic baseline**: what simple if/else rule would a domain expert write? 3. **Evaluate both baselines on the same split and metric as the candidate model.** 4. **Evaluate the delta**: if the complex model only beats the heuristic baseline marginally (e.g., ~1%), recommend keeping the heuristic — the complexity is not worth the maintenance cost. …
Read the whole file at its exact version.
How to install
mdr add yeaight7/agent-powerups/baseline-comparison-review@git:20260605.c1b39a0mdr add yeaight7/agent-powerups/baseline-comparison-review@sha256:eea84ee570e4bfe8Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_hhlvli6s2yzf4gkc)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260605.c1b39a0 latest | 2026-06-05 | c1b39a0 | 2,433 B | A | view · diff |
| git:20260602.0854e33 | 2026-06-02 | 0854e33 | 931 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (2433 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
yeaight7/agent-powerups · 6 stars · license Apache-2.0 · pushed 2026-09-21 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_hhlvli6s2yzf4gkc GET https://markdownregistry.com/api/v1/resolve?ref=yeaight7/agent-powerups/baseline-comparison-review GET https://markdownregistry.com/api/v1/blob/eea84ee570e4bfe8d38cd125f3edafe3037ac0dd294b0cb48f33ac6706a0a9d7
Your agent 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.
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