Browser Automation · Public

markfetch

Browser automation project for web operations, testing, extraction, and permission-boundary checks.

Browser automationWeb tasksTest accountsCookie boundariesPermission control

Best fitDevelopers who need AI-assisted web tasks, browser testing, page extraction, or structured web operations.

Check whether this project matches your task before installing it.

What it can doBrowser automation task planning, permission boundaries, recovery steps, and acceptance checks

Review the portable capability path.

Before continuingVerify in a sandbox

Do not treat a preview pack as a proven local install.

GitHub snapshot0 stars

0 forks · 1 contributors

Official first step Read manual preview Source repository

Publication status · 2026-05-25

What is markfetch?

markfetch supports browser task automation, web operations, or web data workflows.
Best fit: Developers who need AI-assisted web tasks, browser testing, page extraction, or structured web operations.
Not for: Not for workflows that cannot isolate browser state, account permissions, cookies, or real user data.
Capability added to an AI workflow: Browser automation task planning, permission boundaries, recovery steps, and acceptance checks
First safe verification step: Verify one minimal web task with an isolated browser profile and test account first.
Verification state: source, Quick Start, and sandbox install checks are recorded as passed.
Top risk: The main risk is misusing browser state, account permissions, cookies, or real data during automation.
Evidence base: https://github.com/vasylenko/markfetch, https://github.com/vasylenko/markfetch#readme, Human Manual, Pitfall Log

Quick decision

Use this section to decide whether the project is worth a deeper read.

Best forDevelopers who need AI-assisted web tasks, browser testing, page extraction, or structured web operations.

Match the project to your task before installing it.

CapabilityBrowser automation task planning, permission boundaries, recovery steps, and acceptance checks

Browser automation project for web operations, testing, extraction, and permission-boundary checks.

Repositoryvasylenko/markfetch

0 stars · 0 forks

What it can do

Translate the upstream project into concrete capabilities the user can judge before installing.

Introduction

Related topics: Quick Start Guide, Processing Pipeline

Sources: [README.md](https://github.com/vasylenko/markfetch/blob/main/README.md)

Processing Pipeline

Related topics: Introduction, HTTP/2 Fingerprinting, Error Handling

Sources: [src/core.ts](https://github.com/vasylenko/markfetch/blob/main/src/core.ts)

CLI Usage

Related topics: Quick Start Guide, MCP Server Integration, Write Sandbox Security

Sources: [README.md](https://github.com/vasylenko/markfetch/blob/main/README.md)

MCP Server Integration

Related topics: Quick Start Guide, CLI Usage, Write Sandbox Security

Source: https://github.com/vasylenko/markfetch / Human Manual

Environment Variables

Related topics: HTTP/2 Fingerprinting, Write Sandbox Security, Error Handling

Sources: [src/core.ts:1-50]()

Sources: https://github.com/vasylenko/markfetch, Human Manual, Project Pack evidence, and downstream validation signals.

Community Discussion Evidence

Project-level external discussion stays visible on the detail page, not only inside the manual.

Stars0 stars

Forks0 forks

Contributors1 contributors

Licenseunknown

Community Discussion Evidence

2 source-linked items

Review these external discussions before using markfetch with real data or production workflows. They are review inputs, not standalone proof that the project is production-ready.

01
v0.4.1
github / github_release
02
README/documentation is current enough for a first validation pass.
GitHub / issue

How to start

Only source-backed commands are shown here. Verify them in an isolated environment first.

Try the prompt first

Test the workflow without installing the upstream project.

preview

Read the Human Manual

Understand inputs, outputs, limits, and failure modes.

manual

Take context to your AI host

Use the compiled assets in your preferred AI environment.

context

Run sandbox verification

Confirm install commands and rollback before using a primary environment.

verify

npm i -g markfetch

Official start command · https://github.com/vasylenko/markfetch#readme · verified: yes

Human Manual

The English page must expose the real manual, not a short placeholder.

8+ sections · Human Manual

markfetch Manual

Related topics: Quick Start Guide, Processing Pipeline

Open the full manual

markfetch Human Manual
Table of Contents
Introduction
Related Pages
What is markfetch?
Core Design Philosophy
Architecture Overview
Core Components

Introduction

Related topics: Quick Start Guide, Processing Pipeline

Sources: [README.md](https://github.com/vasylenko/markfetch/blob/main/README.md)

Processing Pipeline

Related topics: Introduction, HTTP/2 Fingerprinting, Error Handling

Sources: [src/core.ts](https://github.com/vasylenko/markfetch/blob/main/src/core.ts)

CLI Usage

Related topics: Quick Start Guide, MCP Server Integration, Write Sandbox Security

Sources: [README.md](https://github.com/vasylenko/markfetch/blob/main/README.md)

MCP Server Integration

Related topics: Quick Start Guide, CLI Usage, Write Sandbox Security

Source: https://github.com/vasylenko/markfetch / Human Manual

Environment Variables

Related topics: HTTP/2 Fingerprinting, Write Sandbox Security, Error Handling

Sources: [src/core.ts:1-50]()

AI Context Pack and portable assets

After deciding to continue, take the project context into your own AI host.

Complete pack plus user-owned assets

These files are planning and verification assets for Claude Code, Codex, Gemini, Cursor, ChatGPT, and other AI hosts.

Download complete pack Read Human Manual

BundleComplete Project Pack AssetAI Context Pack AssetBoundary & Risk Card AssetHuman Manual AssetPitfall Log AssetPrompt Preview AssetQuick Start ManifestPROJECT_PACK.json

Preflight checks

Treat this page as a planning asset, not proof that your local environment is ready.

The manual is generated from source-linked project files and Doramagic validation signals.
Community evidence warnings stay visible instead of being converted into marketing claims.
This English page is indexable because the locale quality gate passed and explicit English index approval is enabled.
Use the upstream repository as the final authority for installation commands, license, and version-specific behavior.

Pitfall Log and verification risks

Doramagic surfaces high-risk items before users treat a candidate capability as verified.

medium

Review upstream issue

The source signal needs review before production use.

medium

Review upstream issue

README/documentation is current enough for a first validation pass.

medium

Review upstream issue

The source signal needs review before production use.

medium

Review upstream issue

no_demo

medium

Review upstream issue

no_demo

low

Review upstream issue

issue_or_pr_quality=unknown。

low

Review upstream issue

release_recency=unknown。