price-optimization-tool SKILL.md skillA
price-optimization-tool from nexscope-ai/ecommerce-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add nexscope-ai/ecommerce-skills/price-optimization-tool@git:20260826.ee0fb29Pins git:20260826.ee0fb29 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- nexscope-ai/ecommerce-skills
- Path
price-optimization-tool/SKILL.md- Versions recorded
- 4
- Latest version
- git:20260826.ee0fb29, committed Aug 26, 2026
- First version recorded
- Apr 1, 2026
- Size
- 13,040 bytes
- Repository stars
- 1,361
- License
- MIT
Evaluate ecommerce price candidates using unit economics, historical observations, elasticity analysis, scenario modeling, and controlled experiments. Use when a seller asks what price to test, how price changes could affect contribution or revenue, how to estimate elasticity, how to optimize a bundle or tier, or how to design a price experiment across Amazon, Shopify, TikTok Shop, Walmart, eBay, or other channels. Do not claim a proven optimal price without sufficient clean data, and do not…
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
# Price Optimization Tool Build an evidence-bounded price decision from seller economics and observed behavior, then recommend a reversible test or rollout with explicit uncertainty. ## Installation ```bash npx skills add nexscope-ai/eCommerce-Skills --skill price-optimization-tool -g ``` ## Capabilities - Audit price, demand, traffic, promotion, cost, and inventory data for comparability. - Calculate contribution economics and hard candidate-price constraints. - Estimate directional or numeric elasticity only when the evidence supports it. - Compare price candidates under base, downside, and upside demand scenarios. - Optimize regular, promotional, bundle, quantity, and good-better-best price candidates. - Design controlled price tests with hypotheses, guardrails, confounder controls, and decision rules. - Produce a recommendation with uncertainty, approval requirements, and a reversible rollout. ## Usage Examples ```text Evaluate these five price candidates using my cost and sales history. ``` ```text Can this dataset support a price-elasticity estimate, and what should I test next? ``` ```text …
Read the whole file at its exact version.
How to install
mdr add nexscope-ai/ecommerce-skills/price-optimization-tool@sha256:ad2d4d74100c9347The line at the top of this page pins the label git:20260826.ee0fb29, 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_pnxly5znj4wcthjj)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 4 versions of this file, between Apr 1, 2026 and Aug 26, 2026, about one every 49 days. Its first recorded version is graded C and its latest A.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260826.ee0fb29 latest | 2026-08-26 | ee0fb29 | 13,040 B | A | view · diff |
| git:20260723.07d0404 | 2026-07-23 | 07d0404 | 13,086 B | A | view · diff |
| git:20260409.0419aee | 2026-04-09 | 0419aee | 1,137 B | C | view · diff |
| git:20260401.5516d91 | 2026-04-01 | 5516d91 | 1,123 B | C | 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 (13040 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
nexscope-ai/ecommerce-skills · 1,361 stars · license MIT · pushed 2026-08-26 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_pnxly5znj4wcthjj GET https://markdownregistry.com/api/v1/resolve?ref=nexscope-ai/ecommerce-skills/price-optimization-tool GET https://markdownregistry.com/api/v1/blob/ad2d4d74100c934705789de847f9700ba1b54afb81dd4ca39e442aa1e6faab08
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.