ml-leakage-check SKILL.md skillA
This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.
ml-leakage-check from yeaight7/agent-powerups is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add yeaight7/agent-powerups/ml-leakage-check@git:20260605.148165ePins git:20260605.148165e 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/ml-leakage-check/SKILL.md- Versions recorded
- 3
- Latest version
- git:20260605.148165e, committed Jun 5, 2026
- First version recorded
- May 2, 2026
- Size
- 2,159 bytes
- Repository stars
- 8
- License
- Apache-2.0
Use when reviewing ML preprocessing or feature pipelines for target leakage -- validation metrics look suspiciously good, transformers are fitted before splitting, or features may not exist at prediction time.
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 Target leakage is the most common and dangerous error in applied ML. It creates models that look perfect in validation but fail instantly in production. This check inspects the pipeline for the standard leakage vectors. ## When to Use - Reviewing preprocessing or feature-engineering code before training sign-off - Validation metrics look too good to be true - A model performed far worse in production than in validation ## Inputs - The preprocessing/feature pipeline code and the train/test split logic ## Workflow 1. **Global scaling/imputation**: was any statistic (mean, std, encoder vocabulary) computed on the *entire* dataset before splitting? That leaks the test distribution into training. 2. **Future features**: is any training feature unavailable at the moment of prediction in real life? (e.g., using "surgery_outcome" to predict "hospital_admission_length") 3. **ID proxies**: are database IDs or row numbers included as features? They often correlate with time or order of entry. 4. **Enforce the order**: Split FIRST, then fit transformers on Train ONLY, then transform Train/Val/Test. ## Output …
Read the whole file at its exact version.
How to install
mdr add yeaight7/agent-powerups/ml-leakage-check@sha256:20deb9f3b8dbad1fThe line at the top of this page pins the label git:20260605.148165e, 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.
[](https://markdownregistry.com/a/art_wqtiedmwm4uhsi6z)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between May 2, 2026 and Jun 5, 2026, about one every 17 days. Its first recorded version is graded B and its latest A.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260605.148165e latest | 2026-06-05 | 148165e | 2,159 B | A | view · diff |
| git:20260502.9f8d76d | 2026-05-02 | 9f8d76d | 988 B | A | view · diff |
| git:20260502.4d09253 | 2026-05-02 | 4d09253 | 137 B | B | 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 (2159 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 · 8 stars · license Apache-2.0 · pushed 2026-09-27 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_wqtiedmwm4uhsi6z GET https://markdownregistry.com/api/v1/resolve?ref=yeaight7/agent-powerups/ml-leakage-check GET https://markdownregistry.com/api/v1/blob/20deb9f3b8dbad1f38651915f2ec8dc7d4e848ab7a2ed7d87280fce53110c191
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.
More from yeaight7/agent-powerups
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