Extension Review

Community

quangpl

extension-review

Scan extension source code for Chrome Web Store rejection risks. Generates report with issues, root causes, and fixes. Use when: review, pre-submit, rejection, CWS compliance, store review.

Overview

Publisher	quangpl
Repository	`browser-extension-skills`
Skill name	`extension-review`
Stars	65
Forks	10
Bundled files	3
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
3 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by quangpl on GitHub. Read the source before you install it.

Installation

Install the Extension Review AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/quangpl/browser-extension-skills/tree/main/skills/extension-review
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/quangpl/browser-extension-skills.git /tmp/browser-extension-skills
mkdir -p .claude/skills
cp -r /tmp/browser-extension-skills/skills/extension-review .claude/skills/extension-review

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Extension Review in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Extension Review on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Extension Review is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Extension Review (Pre-Submission Scanner)

🚀 Upgrade to Premium Get the Premium version at https://app.extensionbooster.net/dashboard/services/extension-ai-kit

Scan extension source code and predict Chrome Web Store rejection risks. Generate a clear report.

Reference: https://developer.chrome.com/docs/webstore/troubleshooting

Workflow (Execute This)

Step 1: Ask report format

Ask user: Markdown or HTML report? (default: Markdown)

Step 2: Locate and scan extension

bash
# Find extension root
ls manifest.json wxt.config.ts crxjs.config.ts package.json 2>/dev/null

Step 3: Run all checks

Execute these scans in order (see references/scan-checklist.md for grep patterns):

#	Check	Violation Code	Severity
1	Remote code execution (eval, external scripts)	Blue Argon	CRITICAL
2	Code obfuscation (base64, char encoding)	Red Titanium	CRITICAL
3	Excessive/unused permissions	Purple Potassium	HIGH
4	Missing privacy policy	Purple Lithium	HIGH
5	Missing metadata (icons, description, screenshots)	Yellow Zinc	HIGH
6	Single purpose violation	Red Magnesium	HIGH
7	Deceptive behavior (description ≠ functionality)	Red Nickel	HIGH
8	Insecure data transmission (HTTP)	Purple Copper	HIGH
9	Keyword stuffing in manifest	Yellow Argon	MEDIUM
10	Minimum functionality check	Yellow Potassium	MEDIUM
11	Undisclosed affiliate links	Grey Titanium	MEDIUM
12	Cryptocurrency mining code	Grey Silicon	CRITICAL
13	Copyright circumvention (download helpers)	Blue Zinc	CRITICAL
14	Notification spam patterns	Yellow Nickel	MEDIUM
15	Data collection without consent	Purple Nickel	HIGH

Step 4: Generate report

Output report using template in references/report-template.md.

Report structure per issue:


## Issue: [Name]
- **Severity**: CRITICAL / HIGH / MEDIUM
- **Violation Code**: [Chrome code, e.g. Blue Argon]
- **Root Cause**: [What in your code triggers this]
- **File(s)**: [Exact file paths and line numbers]
- **Solution**: [Step-by-step fix]

Report summary:


| Severity | Count |
|----------|-------|
| CRITICAL | X     |
| HIGH     | X     |
| MEDIUM   | X     |
| PASS     | X     |

Verdict: LIKELY APPROVED / NEEDS FIXES / WILL BE REJECTED

Step 5: Save report

Markdown: save as extension-review-report.md in project root
HTML: save as extension-review-report.html with simple, readable styling

References

references/scan-checklist.md — Grep patterns and detection logic for all 15 checks
references/violation-codes.md — All Chrome Web Store violation codes with descriptions
references/report-template.md — Markdown and HTML report templates

Related Skills

extension-analyze — Deeper security audit (code quality, XSS, CSP)
extension-publish — Full publishing workflow after review passes
extension-manifest — Fix manifest issues found in review

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Extension Review AI skill do?

Scan extension source code for Chrome Web Store rejection risks. Generates report with issues, root causes, and fixes. Use when: review, pre-submit, rejection, CWS compliance, store review.

Why use Extension Review on TypingMind?

Because you install it once and use it with any model. Extension Review is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Extension Review in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/quangpl/browser-extension-skills/tree/main/skills/extension-review. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Extension Review?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Extension Review?

As many as you like. As long as a model supports skills, you can use Extension Review with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Extension Review AI skill free?

Yes. It is published on GitHub by quangpl under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Extension Review (Pre-Submission Scanner)

Workflow (Execute This)

Step 1: Ask report format

Step 2: Locate and scan extension

Step 3: Run all checks

Step 4: Generate report

Step 5: Save report

References

Related Skills

Bundled files

Frequently asked questions

Related AI Skills

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