webshop-result-analyzer SKILL.md skillA
webshop-result-analyzer from zjunlp/skillnet is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add zjunlp/skillnet/webshop-result-analyzer@git:20260307.388baa3Pins git:20260307.388baa3 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- zjunlp/skillnet
- Path
experiments/src/skills/webshop/webshop-result-analyzer/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260307.388baa3, committed Mar 7, 2026
- Size
- 1,842 bytes
- Repository stars
- 1,449
- License
- MIT
This skill evaluates a list of search results against the target product criteria. Trigger it when a search result page is observed, to identify promising product listings. It analyzes each result's title, price, and brief description to shortlist items that best match the required attributes (like size, color, and price), outputting a prioritized list of candidate product IDs or links for further inspection.
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
# Instructions Trigger this skill when you observe a search result page (e.g., containing "Page 1 (Total results: 50)" and multiple product listings). ## 1. Extract User Requirements First, parse the user's instruction from the observation. Identify the following key attributes: - **Product Type:** (e.g., "woman's us size 5 high heel shoe") - **Specific Attributes:** (e.g., "rubber sole", "color patent-beige") - **Price Constraint:** (e.g., "price lower than 90.00 dollars") ## 2. Analyze Search Results For each product listing in the observation (typically formatted as `[ASIN/Product ID] [SEP] [Title] [SEP] [Price Range]`): 1. Extract the **Product ID** (e.g., B09GXNYJCD). 2. Extract the **Product Title**. 3. Extract the **Price**. Convert any range (e.g., "$49.99 to $54.99") to its maximum value for comparison against the budget. 4. Perform a **textual match** between the title/description and the required attributes (size, color, material like "rubber", product type). ## 3. Score and Prioritize Use the bundled Python script `analyze_results.py` to perform a consistent, deterministic analysis. …
Read the whole file at its exact version.
How to install
mdr add zjunlp/skillnet/webshop-result-analyzer@sha256:a1edfef5b4f3368fThe line at the top of this page pins the label git:20260307.388baa3, 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_cic5fitdntxoz4nn)
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Versions
The registry has recorded 1 version of this file, committed on Mar 7, 2026.
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 (1842 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
zjunlp/skillnet · 1,449 stars · license MIT · pushed 2026-11-02 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_cic5fitdntxoz4nn GET https://markdownregistry.com/api/v1/resolve?ref=zjunlp/skillnet/webshop-result-analyzer GET https://markdownregistry.com/api/v1/blob/a1edfef5b4f3368f17355fa3aa5278c184995fccb24d1cbc2896c437eb28ab95
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.