feature-engineering SKILL.md skillA
feature-engineering from ssameer20/data-analyst-toolkit is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add ssameer20/data-analyst-toolkit/feature-engineering@git:20261103.646dff1Pins git:20261103.646dff1 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- ssameer20/data-analyst-toolkit
- Path
skills/feature-engineering/SKILL.md- Versions recorded
- 2
- Latest version
- git:20261103.646dff1, committed Nov 3, 2026
- First version recorded
- Nov 3, 2026
- Size
- 2,523 bytes
- Repository stars
- 2
- License
- MIT
Use when designing, creating, transforming, selecting, or validating analytical or machine-learning features from raw data.
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
# Feature Engineering Design useful, reproducible features that match the analytical objective and data grain, without introducing leakage or unsupported assumptions. ## Workflow 1. Clarify the task (prediction, segmentation, forecasting, or descriptive analysis), target or outcome if any, prediction/measurement time, row grain, available fields, and implementation tool. 2. Inspect actual schema and representative data. Identify keys, time coverage, missingness, category cardinality, and source/availability timing for candidate fields. 3. Propose features with their business meaning, formula, input columns, output type, and level of aggregation. Make assumptions explicit; do not invent columns or business definitions. 4. Choose transformations appropriate to the data and requested tool, such as date parts, durations, ratios, grouped aggregates, categorical encoding, or numeric scaling. Define null, zero, invalid-value, and unseen-category handling. 5. Prevent leakage: exclude target-derived or post-outcome information, use only data available at the prediction time, and compute learned transformations using training data only. …
Read the whole file at its exact version.
How to install
mdr add ssameer20/data-analyst-toolkit/feature-engineering@sha256:b891e46e52610bd6The line at the top of this page pins the label git:20261103.646dff1, 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_4zm27trcf52bdlpd)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, all committed on Nov 3, 2026.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261103.646dff1 latest | 2026-11-03 | 646dff1 | 2,523 B | A | view · diff |
| git:20261103.1f68b76 | 2026-11-03 | 1f68b76 | 2,031 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 (2523 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
ssameer20/data-analyst-toolkit · 2 stars · license MIT · pushed 2026-11-03 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_4zm27trcf52bdlpd GET https://markdownregistry.com/api/v1/resolve?ref=ssameer20/data-analyst-toolkit/feature-engineering GET https://markdownregistry.com/api/v1/blob/b891e46e52610bd6758e44636d331f1064217b3b9e73c58f4d456bcba10b23ba
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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