feature-engineering-cost-benefit-tracking SKILL.md skillA
feature-engineering-cost-benefit-tracking from himanshuj16/algo-trading-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add himanshuj16/algo-trading-skills/feature-engineering-cost-benefit-tracking@v2.0.0Pins v2.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- himanshuj16/algo-trading-skills
- Path
skills/feature-engineering-cost-benefit-tracking/SKILL.md- Versions recorded
- 5
- Latest version
- v2.0.0, committed Sep 3, 2026
- First version recorded
- Jul 25, 2026
- Size
- 9,705 bytes
- Repository stars
- 50
- License
- Apache-2.0
Use when a feature pipeline has accumulated expensive inputs with negligible marginal accuracy; weighs each feature's permutation importance against its licensing cost, compute cost and inference latency before pruning.
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
## When to Use Invoke this skill when optimizing an ML feature pipeline for production deployment. Production pipelines accumulate feature bloat: dozens of expensive features (high-latency order-book depth metrics, alternative-data API subscriptions, multi-resolution convolutions) that add negligible marginal accuracy while inflating infrastructure spend and inference latency. This skill scores each feature's marginal contribution against its monthly cost and its share of the inference latency budget, and returns a `KEEP` / `REVIEW` / `PRUNE` verdict per feature plus a *realizable* savings figure for the pipeline. ## When NOT to Use - **Feature *selection* during model fitting.** This skill audits an already-fitted model's feature set. Choosing features as part of training (and validating that choice across folds) belongs to `feature-selection-stability-across-folds`. - **Detecting that a feature's importance has *changed*.** A drop in importance over time is drift, not a cost-benefit question — see `feature-importance-drift-monitoring`. …
Read the whole file at its exact version.
How to install
mdr add himanshuj16/algo-trading-skills/feature-engineering-cost-benefit-tracking@sha256:32165efcc8b3e111The line at the top of this page pins the label v2.0.0, 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.
[](https://markdownregistry.com/a/art_ndo3zzsrzqbgwgbd)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Jul 25, 2026 and Sep 3, 2026, about one every 10 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v2.0.0 latest | 2026-09-03 | 8527a51 | 9,705 B | A | view · diff |
| v2.0.0 | 2026-08-25 | 7e72405 | 9,795 B | A | view · diff |
| v1.0.0 | 2026-08-07 | 89d1436 | 2,733 B | A | view · diff |
| v1.0 | 2026-07-30 | dfc60c7 | 2,731 B | A | view · diff |
| v1.0 | 2026-07-25 | 60e482e | 2,742 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 (9705 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
himanshuj16/algo-trading-skills · 50 stars · license Apache-2.0 · pushed 2026-09-14 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_ndo3zzsrzqbgwgbd GET https://markdownregistry.com/api/v1/resolve?ref=himanshuj16/algo-trading-skills/feature-engineering-cost-benefit-tracking GET https://markdownregistry.com/api/v1/blob/32165efcc8b3e1118c245bcf242007597cc21a0cfe75ab0569e2c36f8678b85e
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.