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Agent skill

Webshop Product Detail Inspector

by zjunlp in zjunlp/SkillNet

This skill examines a product detail page to verify specific attributes or select options like size, color, or quantity.

MITAuto-check passedSales & Support

Install Webshop Product Detail Inspector

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

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

GitHub CLI
$ gh skill install zjunlp/SkillNet webshop-product-detail-inspector --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-inspector .claude/skills/webshop-product-detail-inspector && 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-inspector
GitHub stars
1.4k
Token cost
~464 tokens
SKILL.md length
202 words
Files
3 (incl. references)
Skills in repo
122
Repo updated
First seen
Licence
MIT

At a glance

This skill examines a product detail page to verify specific attributes or select options like size, color, or quantity.

  • Works in 3 steps: Parse the Instruction: Identify the… → Examine the Page: Check the product's… → Decision & Action
  • Sales & Support work in your project
  • SKILL.md covers Purpose, Input, Core Logic and Output Format
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Webshop Product Detail Inspector is an agent skill from zjunlp/SkillNet. This skill examines a product detail page to verify specific attributes or select options like size, color, or quantity. It is used after clicking on a product, to confirm that the item matches the user's needs (e.g., checking for '10 slots' option, price, material). The input is the product page observation, and the output is an action to select a required variant (e.g., click[10 slots]) or proceed if criteria are satisfied.

Its SKILL.md is about 460 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/action_guidelines.md` and `references/trajectory_example.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 needs (e.g., checking for”
  • “/webshop-product-detail-inspector”

Workflow steps

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

  1. Parse the Instruction: Identify the user's key requirements from the instruction (e.g., specific attribute: "10 slots", price constraint…
  2. Examine the Page: Check the product's displayed Price against the user's budget. Check the available options for the required attribute.
  3. 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 Inspector loads about 464 tokens when it runs, and up to ~1.3k if it reads all its reference files. Until then it costs about 116 tokens; SKILL.md has 202 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~116
When it runs · the whole SKILL.md, loaded when a task matches
~464
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). 202 words, ~464 tokens.

Download SKILL.mdSave it as .claude/skills/webshop-product-detail-inspector/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
webshop-product-detail-inspector
description
This skill examines a product detail page to verify specific attributes or select options like size, color, or quantity. It is used after clicking on a product, to confirm that the item matches the user's needs (e.g., checking for '10 slots' option, price, material). The input is the product page observation, and the output is an action to select a required variant (e.g., click[10 slots]) or proceed if criteria are satisfied.

Instructions

Purpose

You are an agent navigating a web shop. Your current task is to inspect a product detail page. You have arrived here after clicking on a product from the search results.

Input

You will receive an Observation containing the product page state. This includes:

  • The original user instruction (e.g., "i am looking for an easy to clean jewelry box with 10 slots, and price lower than 60.00 dollars").
  • Product details: Title, Price, Rating.
  • Available options (e.g., size variants like "3 slot", "10 slots").
  • Available actions (e.g., "Buy Now", "Description").

Core Logic

  1. Parse the Instruction: Identify the user's key requirements from the instruction (e.g., specific attribute: "10 slots", price constraint: "< $60").
  2. Examine the Page: Check the product's displayed Price against the user's budget. Check the available options for the required attribute.
  3. Decision & Action:
    • If the required attribute (e.g., "10 slots") is present as a selectable option, click on it.
    • If the product does not have the required attribute or exceeds the price limit, you should go "Back to Search".
    • If the product meets all criteria (correct attribute selected, price is valid), you may proceed (e.g., click "Buy Now").

Output Format

Your response must be in this exact format:

© 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 2 other files (references) in experiments/src/skills/webshop/webshop-product-detail-inspector of zjunlp/SkillNet.

  • SKILL.md
  • references/action_guidelines.md
  • references/trajectory_example.md

Open the folder on GitHubat commit c527136

Compare with similar skills

Webshop Product Detail Inspector 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 Inspector compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Webshop Product Detail Inspector this skillzjunlp/SkillNet1.4k—~464Automated 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 Inspector

What does Webshop Product Detail Inspector do?

This skill examines a product detail page to verify specific attributes or select options like size, color, or quantity. Webshop Product Detail Inspector is an agent skill from zjunlp/SkillNet. This skill examines a product detail page to verify specific attributes or select options like size, color, or quantity.

When should I use Webshop Product Detail Inspector?

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

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

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

How do I install Webshop Product Detail Inspector in Codex?

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

Can I use Webshop Product Detail Inspector 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-inspector -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-inspector, .gemini/skills/webshop-product-detail-inspector, .github/skills/webshop-product-detail-inspector and .opencode/skills/webshop-product-detail-inspector in your project.

What does Webshop Product Detail Inspector need to run?

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

Does Webshop Product Detail Inspector 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 Inspector 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 Inspector use?

Webshop Product Detail Inspector 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 Inspector use?

About 464 tokens (SKILL.md is roughly 1.9k 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 844 tokens, read only when the agent opens those files.

What are the alternatives to Webshop Product Detail Inspector?

Skills that share tags, products or a category with Webshop Product Detail Inspector: 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 Inspector?

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.