webshop-product-search

webshop-product-search is a skill for Claude Code, Codex from zjunlp/SkillNet. It costs 73 tokens per session (473 once invoked), scanned A, original, MIT.

A web-shop search helper that interprets shopping requirements and submits product searches. It can start a search, retry with broader terms, or refine the query when results are unsuitable.

In plain words
What is it for?
It is for searching for products, refining keywords, and handing results to later product-selection steps.
Why use it?
It helps recover from empty or poorly matched search results without requiring the shopper to reformulate every query.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It is for searching for products, refining keywords, and handing results to later product-selection steps.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zjunlp/skillnet/webshop-product-search
About the project

SkillNet is infrastructure for finding, creating, evaluating, combining, and coordinating reusable capabilities for AI agents. Agent developers use it as a searchable and installable library of skills and as a system for selecting skills for particular tasks. The catalogue contains skills that can be discovered, installed, or used with SkillNet.

zjunlp/SkillNet · 1,256 stars · on GitHub · skillnet.openkg.cn

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add zjunlp/SkillNet --skill webshop-product-search
Clone the repo
git clone --depth 1 https://github.com/zjunlp/SkillNet

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for webshop-product-search

README.md
[![agentmods](https://agentmods.dev/badge/skills/zjunlp/skillnet/webshop-product-search/github.svg)](https://agentmods.dev/skills/zjunlp/skillnet/webshop-product-search)
Your own site
<a href="https://agentmods.dev/skills/zjunlp/skillnet/webshop-product-search"><img src="https://agentmods.dev/badge/skills/zjunlp/skillnet/webshop-product-search/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for webshop-product-search

Your own site · 80×15
<a href="https://agentmods.dev/skills/zjunlp/skillnet/webshop-product-search"><img src="https://agentmods.dev/badge/skills/zjunlp/skillnet/webshop-product-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 73 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 473 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00073 $0.00473
Opus 5 $0.00036 $0.00236
Sonnet 5 $0.00015 $0.00095
Haiku 4.5 $0.00007 $0.00047

Measured 7d ago against content hash 77d8e2e6b3c9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

webshop-product-search scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

experiments/src/skills/webshop/webshop-product-search/SKILL.md · 32 lines

What it actually says

Core Workflow

  1. Interpret Criteria: Extract key product attributes from the user's instruction (e.g., product type, features, price constraints).
  2. Formulate Query: Construct a concise search string prioritizing the core product type and critical attributes. Start broad; refine if results are poor.
  3. Execute Search: Use the search[keywords] action to submit the query. Keywords must be a single string enclosed in brackets.
  4. Validate Results: Success is marked by a "Page 1" observation containing product listings. If 0 results are returned, re-invoke with a broader or alternative query. If all results exceed the user's price constraint, refine with additional terms.

Key Decision Logic

  • Trigger Condition: This skill is the entry point for a new product discovery task. Also activate when the observation contains "[SEP] Search" or "[SEP] Back to Search".
  • Output Handoff: The search results page is passed to downstream skills (e.g., webshop-result-filter, webshop-product-evaluator) for individual product analysis.

Constraints

  • Do not use this skill if no search action is available in the current state.
  • Do not include multiple actions or extra formatting in the search keywords.

Example from Trajectory

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

  1. Criteria identified: product_type="clip-in hair extension", attribute="long", attribute="natural looking", budget="<40.00".
  2. Query formulated: Prioritizes core product type and key attribute -> "long clip-in hair extension".
  3. Action: search[long clip-in hair extension]
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 7d ago First seen · 32 lines · 73 tokens per session scan A 77d8e2e6b3c9

Subscribe to this mod's changes

webshop-product-search is a skill published in the GitHub repository zjunlp/SkillNet (1,256 stars, last pushed 2d ago), licensed MIT. It adds 73 tokens to every session and 473 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Related

Other skills, from other repositories

skill-creator

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.

zjunlp/DataMind · 45 tokens

Total_Fees_Calculation

Skill for computing total payment processing fees for a merchant over a specific day, date range, or month in the dabstep dataset. Use this skill whenever the question asks for "total fees", "fees paid", or "fees charged" for a merchant over some time period. The computation requires matching each transaction to a fee…

zjunlp/DataMind · 101 tokens

ddr-globem-analysis

Analyze a specific participant's longitudinal passive-sensing and psychological data in the GLOBEM digital depression research dataset. Use this skill whenever the task involves: analyzing a user's mental health or behavioral data from wearables/smartphones, generating QA pairs about behavioral/psychological changes…

zjunlp/DataMind · 98 tokens

applicable-fee-ids

Solve questions about which fee IDs apply to a payment merchant, transaction characteristics, or time period in the dabstep dataset. Use this skill for any question asking "which fee IDs apply to X", "what are the applicable fee IDs for merchant Y", "which merchants are affected by fee Z", or any query involving…

zjunlp/DataMind · 81 tokens

Fee_Delta_and_Impact_Simulation

Solve dabstep FeeDeltaandImpactSimulation questions: computing fee deltas when a fee's rate changes, and identifying which merchants are affected by fee rule changes. Use when asked about fee impact, delta payments, rate changes, or which merchants would be affected by modifying a fee rule.

zjunlp/DataMind · 0 tokens

mimic-iv-patient-analysis

Comprehensive strategy for analyzing individual patient records in MIMIC-IV EHR database and generating high-quality, diverse QA pairs. Use this skill whenever the task involves analyzing a specific patient's clinical data from MIMIC-IV (or similar EHR databases), querying across hospital and ICU tables, and…

zjunlp/DataMind · 118 tokens