Amazon Buy Box Monitor
browser-act/skills
Pulls Amazon product details, competing seller prices and seller ratings for a given ASIN through the BrowserAct API, without browser automation.
This skill evaluates a list of search results against the target product criteria.
Install Webshop Result Analyzer
$ npx skills add zjunlp/SkillNet --skill webshop-result-analyzer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install zjunlp/SkillNet webshop-result-analyzer --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-result-analyzer .claude/skills/webshop-result-analyzer && rm -rf skills-srcUse ~/.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/
Install the "webshop-result-analyzer" agent skill from https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/webshop/webshop-result-analyzer into .claude/skills/webshop-result-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "webshop-result-analyzer", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/webshop/webshop-result-analyzerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add zjunlp/SkillNet --skill webshop-result-analyzer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install zjunlp/SkillNet webshop-result-analyzer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zjunlp/SkillNet.git skills-src && mkdir -p .agents/skills && cp -r skills-src/experiments/src/skills/webshop/webshop-result-analyzer .agents/skills/webshop-result-analyzer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "webshop-result-analyzer" agent skill from https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/webshop/webshop-result-analyzer into .agents/skills/webshop-result-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "webshop-result-analyzer", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add zjunlp/SkillNet --skill webshop-result-analyzer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install zjunlp/SkillNet webshop-result-analyzer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zjunlp/SkillNet.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/experiments/src/skills/webshop/webshop-result-analyzer .cursor/skills/webshop-result-analyzer && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "webshop-result-analyzer" agent skill from https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/webshop/webshop-result-analyzer into .cursor/skills/webshop-result-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "webshop-result-analyzer", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/zjunlp/SkillNet.git --path experiments/src/skills/webshop/webshop-result-analyzer--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add zjunlp/SkillNet --skill webshop-result-analyzer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install zjunlp/SkillNet webshop-result-analyzer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zjunlp/SkillNet.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/experiments/src/skills/webshop/webshop-result-analyzer .gemini/skills/webshop-result-analyzer && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "webshop-result-analyzer" agent skill from https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/webshop/webshop-result-analyzer into .gemini/skills/webshop-result-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "webshop-result-analyzer", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install zjunlp/SkillNet webshop-result-analyzerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add zjunlp/SkillNet --skill webshop-result-analyzer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/zjunlp/SkillNet.git skills-src && mkdir -p .github/skills && cp -r skills-src/experiments/src/skills/webshop/webshop-result-analyzer .github/skills/webshop-result-analyzer && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "webshop-result-analyzer" agent skill from https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/webshop/webshop-result-analyzer into .github/skills/webshop-result-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "webshop-result-analyzer", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add zjunlp/SkillNet --skill webshop-result-analyzer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install zjunlp/SkillNet webshop-result-analyzer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zjunlp/SkillNet.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/experiments/src/skills/webshop/webshop-result-analyzer .opencode/skills/webshop-result-analyzer && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "webshop-result-analyzer" agent skill from https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/webshop/webshop-result-analyzer into .opencode/skills/webshop-result-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "webshop-result-analyzer", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
webshop-result-analyzer- GitHub stars
- 1.4k
- Token cost
- ~461 tokens
- SKILL.md length
- 195 words
- Files
- 3 (incl. references)
- Skills in repo
- 122
- Repo updated
- First seen
- Licence
- MIT
At a glance
This skill evaluates a list of search results against the target product criteria.
- Works in 4 steps: Extract User Requirements → Analyze Search Results → Score and Prioritize → …
- It when a search result page is observed
- SKILL.md covers 1. Extract User Requirements, 2. Analyze Search Results, 3. Score and Prioritize and 4. Output and Next Action
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Webshop Result Analyzer is an agent skill from zjunlp/SkillNet. 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.
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/attribute_patterns.md` and `references/execution_example.md`).
It sits in Sales & Support, covering E-commerce operations. The repository describes itself as: Create, Evaluate, and Connect AI Skills. The licence is MIT.
When your agent uses it
- It when a search result page is observed
- Identify promising product listings
Example prompts
- “/webshop-result-analyzer”
Requirements
- Python 3
Workflow steps
4 steps, taken from the step headings in SKILL.md.
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 Result Analyzer loads about 461 tokens when it runs, and up to ~732 if it reads all its reference files. Until then it costs about 109 tokens; SKILL.md has 195 words of instructions outside code blocks.
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). 195 words, ~461 tokens.
Download SKILL.mdSave it as
.claude/skills/webshop-result-analyzer/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- webshop-result-analyzer
- description
- 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.
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]):
- Extract the Product ID (e.g., B09GXNYJCD).
- Extract the Product Title.
- Extract the Price. Convert any range (e.g., "$49.99 to $54.99") to its maximum value for comparison against the budget.
- 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.
- Run the script with the extracted user requirements and the list of product data.
- The script will output a prioritized list of candidate Product IDs, sorted by a match score.
4. Output and Next Action
Present the analysis in this 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-result-analyzer of zjunlp/SkillNet.
- SKILL.md
- references/attribute_patterns.md
- references/execution_example.md
Open the folder on GitHubat commit c527136
Compare with similar skills
Webshop Result Analyzer 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Webshop Result Analyzer this skillzjunlp/SkillNet | 1.4k | — | ~461 | Automated safety check: Pass | MIT | |
| Amazon Buy Box Monitorbrowser-act/skills | 6.1k | 1 repos | ~1.6k | Automated safety check: Pass | MIT | |
| Tourmind Bookingtourmind-com/Tourmind-Booking-Skills | 1.8k | — | ~13k | Automated safety check: Pass | MIT | |
| Ecommerce Image Suitewzj177/ecommerce-image-suite | 449 | — | ~10k | Automated safety check: Pass | Apache-2.0 | |
| Zach Feature Demand Validatorzach22-1999/amazon-skills | 209 | 1 repos | ~2.3k | Automated safety check: Notes | MIT | |
| Caramel CouponsDevinoSolutions/caramel | 141 | — | ~1.1k | Automated safety check: Pass | AGPL-3.0 |
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Related
Categories
Questions about Webshop Result Analyzer
What does Webshop Result Analyzer do?
This skill evaluates a list of search results against the target product criteria. Webshop Result Analyzer is an agent skill from zjunlp/SkillNet. This skill evaluates a list of search results against the target product criteria.
When should I use Webshop Result Analyzer?
Webshop Result Analyzer fits situations like: it when a search result page is observed; identify promising product listings.
How do I install Webshop Result Analyzer in Claude Code?
Run `npx skills add zjunlp/SkillNet --skill webshop-result-analyzer -a claude-code`. Or copy the skill folder (experiments/src/skills/webshop/webshop-result-analyzer in zjunlp/SkillNet) into .claude/skills/webshop-result-analyzer in your project. Claude Code loads it when a task matches its description.
How do I install Webshop Result Analyzer in Codex?
Run `npx skills add zjunlp/SkillNet --skill webshop-result-analyzer -a codex`. Or copy the skill folder (experiments/src/skills/webshop/webshop-result-analyzer in zjunlp/SkillNet) into .agents/skills/webshop-result-analyzer in your project. Codex loads it when a task matches its description.
Can I use Webshop Result Analyzer 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-result-analyzer -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-result-analyzer, .gemini/skills/webshop-result-analyzer, .github/skills/webshop-result-analyzer and .opencode/skills/webshop-result-analyzer in your project.
What does Webshop Result Analyzer need to run?
SKILL.md names no scripts, command-line tools or credentials: Webshop Result Analyzer is instructions for the agent only. Our summary lists: Python 3.
Does Webshop Result Analyzer 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 Result Analyzer 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 Result Analyzer use?
Webshop Result Analyzer 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 Result Analyzer use?
About 461 tokens (SKILL.md is roughly 1.8k 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 271 tokens, read only when the agent opens those files.
What are the alternatives to Webshop Result Analyzer?
Skills that share tags, products or a category with Webshop Result Analyzer: Amazon Buy Box Monitor (browser-act/skills, 6.1k stars), Tourmind Booking (tourmind-com/Tourmind-Booking-Skills, 1.8k stars), Ecommerce Image Suite (wzj177/ecommerce-image-suite, 449 stars) and Zach Feature Demand Validator (zach22-1999/amazon-skills, 209 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Webshop Result Analyzer?
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.