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Agent skill

Webshop Product Detail Check

by zjunlp in zjunlp/SkillNet

Examines a specific product's detailed page to verify it matches the user's requirements, checking price, description, features, and reviews.

MITAuto-check passedSales & Support

Install Webshop Product Detail Check

skills CLI
$ npx skills add zjunlp/SkillNet --skill webshop-product-detail-check -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install zjunlp/SkillNet webshop-product-detail-check --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/zjunlp/SkillNet.git skills-src && mkdir -p .claude/skills && cp -r skills-src/experiments/src/skills/webshop/webshop-product-detail-check .claude/skills/webshop-product-detail-check && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
webshop-product-detail-check
GitHub stars
1.4k
Token cost
~944 tokens
SKILL.md length
433 words
Files
2 (incl. references)
Skills in repo
122
Repo updated
First seen
Licence
MIT

At a glance

Examines a specific product's detailed page to verify it matches the user's requirements, checking price, description, features, and reviews.

  • Works in 4 steps: Parse User Requirements: Extract key… → Scrape Product Page Data: Systematically… → Constraint Verification: Compare the… → …
  • Sales & Support work in your project
  • SKILL.md covers Trigger, Core Objective, Execution Workflow and Output Format, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Webshop Product Detail Check is an agent skill from zjunlp/SkillNet. Examines a specific product's detailed page to verify it matches the user's requirements, checking price, description, features, and reviews. Use when you have navigated to a product detail page from search results and need to confirm the product meets all user-specified constraints before purchasing. It provides a final suitability assessment with a clear proceed-or-reject recommendation.

Its SKILL.md is about 940 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/action_guidelines.md`).

It sits in Sales & Support. The repository describes itself as: Create, Evaluate, and Connect AI Skills. The licence is MIT.

When your agent uses it

  • Sales & Support work in your project

Example prompts

  • “s detailed page to verify it matches the user”
  • “Use the webshop-product-detail-check skill to examine a specific product's detailed page to verify it matches the user's requirements, checking…”
  • “/webshop-product-detail-check”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Parse User Requirements: Extract key constraints from the user's instruction. Primary constraints are typically Price and Key Attributes…
  2. Scrape Product Page Data: Systematically extract the following information from the current page observation
  3. Constraint Verification: Compare the scraped data against the user's requirements.
  4. Decision & Action

What it can do on your machine

Read from SKILL.md and the folder at commit c527136. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Webshop Product Detail Check loads about 944 tokens when it runs, and up to ~1.3k if it reads all its reference files. Until then it costs about 105 tokens; SKILL.md has 433 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~105
When it runs · the whole SKILL.md, loaded when a task matches
~944
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from zjunlp/SkillNet at commit c527136, republished under its MIT licence (© zjunlp). 433 words, ~944 tokens.

Download SKILL.mdSave it as .claude/skills/webshop-product-detail-check/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
webshop-product-detail-check
description
Examines a specific product's detailed page to verify it matches the user's requirements, checking price, description, features, and reviews. Use when you have navigated to a product detail page from search results and need to confirm the product meets all user-specified constraints before purchasing. It provides a final suitability assessment with a clear proceed-or-reject recommendation.

Skill: Product Detail Verification

Trigger

Activate this skill when the agent has navigated to a specific product's detailed page from a search results list. The agent should have a user query containing specific requirements (e.g., product type, attributes, price constraints).

Core Objective

Analyze the product detail page to confirm if the product meets all user-specified constraints. Provide a clear "Proceed" or "Reject" recommendation.

Execution Workflow

  1. Parse User Requirements: Extract key constraints from the user's instruction. Primary constraints are typically Price and Key Attributes (e.g., "long", "clip-in", "natural looking"). Store these in a structured format.

  2. Scrape Product Page Data: Systematically extract the following information from the current page observation:

    • Product Title
    • Price
    • Key Description Snippets (from Description/Features sections)
    • Rating (if available)
    • Availability of "Buy Now" action.

  3. Constraint Verification: Compare the scraped data against the user's requirements.

    • Price Check: Is the product price strictly less than the user's maximum? (e.g., < $40.00).
    • Attribute Check: Do the title and description contain terms matching the user's key attributes? (e.g., confirm "clip-in" and "natural looking" are present).
    • Suitability Flag: Product is suitable only if ALL hard constraints (price, mandatory attributes) are satisfied.

  4. Decision & Action:

    • If SUITABLE: Conclude the product matches requirements. The recommended action is click[buy now].
    • If NOT SUITABLE: Conclude the product fails one or more constraints. The recommended action is to return to search (click[back to search]) to find another candidate.

Output Format

Your response must use the following format:

Thought: [Your reasoning, summarizing the user's constraints, the product details found, and the result of the verification check.] Action: [The single, valid action to take: click[buy now] or click[back to search]]

Show full SKILL.md (162 more words)Show less

Example

Instruction: "i need a long clip-in hair extension which is natural looking, and price lower than 40.00 dollars"

Observation: Product page for "22 Inch Long Natural Looking Clip-In Hair Extension" — Price: $34.99, Description mentions "clip-in", "natural looking", "synthetic fiber".

Thought: The user needs a long, natural-looking, clip-in hair extension under $40. This product is priced at $34.99 (< $40.00), the title confirms "long" and "natural looking", and the description confirms "clip-in". All constraints are satisfied. Action: click[buy now]

Observation: Product page for "Premium Human Hair Extension" — Price: $45.99, Description mentions "clip-in", "natural".

Thought: The user's budget is under $40. This product is priced at $45.99, which exceeds the $40 limit. Price constraint fails. Action: click[back to search]

Notes

  • Prioritize information explicitly on the product page. Assume missing information (like a Rating of "N.A.") does not disqualify a product unless specified by the user.
  • The "Buy Now" button must be present in the available actions list for the purchase action to be valid.

© zjunlp, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in experiments/src/skills/webshop/webshop-product-detail-check of zjunlp/SkillNet.

  • SKILL.md
  • references/action_guidelines.md

Open the folder on GitHubat commit c527136

Compare with similar skills

Webshop Product Detail Check next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Webshop Product Detail Check compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Webshop Product Detail Check this skillzjunlp/SkillNet1.4k—~944Automated safety check: PassMIT
Cold Outbound Optimizerericosiu/ai-marketing-skills3.6k1 repos~1.7kAutomated safety check: PassMIT
Doc Coauthoringaws-samples/sample-strands-agent-with-agentcore19540 repos~3.2kAutomated safety check: PassMIT
Amazon Buy Box Monitorbrowser-act/skills6.1k1 repos~1.6kAutomated safety check: PassMIT
Review Analysisliangdabiao/amazon-sorftime-research-MCP-skill9591 repos~2.5kAutomated safety check: PassNone
Deskcomm Extensaomelgarafael/DeskcommCRM4.5k—~2.7kAutomated safety check: PassMIT

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Categories

Questions about Webshop Product Detail Check

What does Webshop Product Detail Check do?

Examines a specific product's detailed page to verify it matches the user's requirements, checking price, description, features, and reviews. Webshop Product Detail Check is an agent skill from zjunlp/SkillNet. Examines a specific product's detailed page to verify it matches the user's requirements, checking price, description, features, and reviews.

When should I use Webshop Product Detail Check?

Webshop Product Detail Check fits situations like: sales & Support work in your project.

How do I install Webshop Product Detail Check in Claude Code?

Run `npx skills add zjunlp/SkillNet --skill webshop-product-detail-check -a claude-code`. Or copy the skill folder (experiments/src/skills/webshop/webshop-product-detail-check in zjunlp/SkillNet) into .claude/skills/webshop-product-detail-check in your project. Claude Code loads it when a task matches its description.

How do I install Webshop Product Detail Check in Codex?

Run `npx skills add zjunlp/SkillNet --skill webshop-product-detail-check -a codex`. Or copy the skill folder (experiments/src/skills/webshop/webshop-product-detail-check in zjunlp/SkillNet) into .agents/skills/webshop-product-detail-check in your project. Codex loads it when a task matches its description.

Can I use Webshop Product Detail Check in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add zjunlp/SkillNet --skill webshop-product-detail-check -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/webshop-product-detail-check, .gemini/skills/webshop-product-detail-check, .github/skills/webshop-product-detail-check and .opencode/skills/webshop-product-detail-check in your project.

What does Webshop Product Detail Check need to run?

SKILL.md names no scripts, command-line tools or credentials: Webshop Product Detail Check is instructions for the agent only.

Does Webshop Product Detail Check access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Webshop Product Detail Check safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Webshop Product Detail Check use?

Webshop Product Detail Check is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Webshop Product Detail Check use?

About 944 tokens (SKILL.md is roughly 3.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 326 tokens, read only when the agent opens those files.

What are the alternatives to Webshop Product Detail Check?

Skills that share tags, products or a category with Webshop Product Detail Check: Cold Outbound Optimizer (ericosiu/ai-marketing-skills, 3.6k stars), Doc Coauthoring (aws-samples/sample-strands-agent-with-agentcore, 195 stars), Amazon Buy Box Monitor (browser-act/skills, 6.1k stars) and Review Analysis (liangdabiao/amazon-sorftime-research-MCP-skill, 959 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Webshop Product Detail Check?

zjunlp (a GitHub organization) maintains it in zjunlp/SkillNet, which has 1,397 GitHub stars. The repository holds 122 skills in this directory. The repository was last updated on October 9, 2026.

Source: zjunlp/SkillNet on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.