Agent Plugins Hub
Industry-standard reviewWeb Developmentv2026.8.6.2

ghostfetch Agent Plugin

Stealthy headless browser service for AI agents. Bypasses anti-bot protections and returns clean, LLM-friendly Markdown. This catalog entry is pinned to reviewed commit 2adb0353021d and records a qualification score of 89/100.

View source Install plugin
0 repository stars MIT Updated Aug 8, 2026

Independent catalog review

Qualification snapshot

Qualified

Format

100/100

Quality

78/100

Qualified

89/100

Scores reflect package format and editorial quality checks at the fixed reviewed commit. They are not popularity ratings or security guarantees.

Installation

Install Ghostfetch

Install the plugin from iArsalanshah/GhostFetch at .. The generated command uses sparse checkout and keeps the reviewed repository path visible.

Terminal · Git sparse checkout
git clone --depth 1 https://github.com/iArsalanshah/GhostFetch.git
cd GhostFetch
Review the fixed manifest and documentation before enabling the plugin.
Confirm your agent client supports the declared Agent Plugins specification.
Inspect required credentials, commands, network access, and side effects in the upstream source.

Explainable standards check

Latest official standard could not be confirmed

Official latest version: 1.0.0 (Working Draft). The value is read from the official specification and cached for one day.

Read the official specification

This is a static package-format check, not a security audit, quality score, malware scan, or guarantee of client compatibility.

Source package available for inspection

The package could not be checked: GitHub tree returned 429.

Static source inspection

Independent catalog review

Why this plugin qualified

This is the original assessment excerpt captured during manual catalog selection. It describes review evidence, not a security guarantee or user rating.

GhostFetch is a well-scoped agent-oriented web-fetching plugin with a plugin manifest, MCP stdio configuration, CLI, Python SDK, REST API, Docker support, authenticated sessions, async jobs, Markdown output, and an accompanying skill guide. The documented workflows are reasonably actionable and the components appear coherent, with dedicated tests for authentication, jobs, security, MCP framing, and timeouts. Its value is differentiated beyond a trivial wrapper through browser automation, session…

Capabilities

What can you do with ghostfetch?

Stealthy headless browser service for AI agents. Bypasses anti-bot protections and returns clean, LLM-friendly Markdown.

The reviewed package declares 2 skill(s), 1 MCP configuration(s), and 0 additional resource(s).

  • Use the ghostfetch skill from the reviewed package
  • Connect through the ghostfetch MCP configuration
  • Review the fixed plugin manifest at commit 2adb0353021d
  • Install the package from iArsalanshah/GhostFetch/.
  • Verify the declared 2 skill, 1 MCP, and 0 resource entries

Reviewed package scope

Stealthy headless browser service for AI agents. Bypasses anti-bot protections and returns clean, LLM-friendly Markdown.

Fixed-source qualification

Inspect the package at commit 2adb0353021d with recorded format, quality, and qualification evidence.

Practical workflow

A source-backed Ghostfetch workflow

Pass 01 / Inspect

Review the fixed source

Inspect plugin.json, the linked documentation, package inventory, license, and qualification excerpt at the reviewed commit.

Pass 02 / Verify

Install and validate locally

Install from the pinned repository path, confirm the client discovers the declared components, and review permissions before real use.

Package contents

What is included in ghostfetch?

ghostfetch declares 2 Skills, 1 MCP configuration, and 0 additional resources. The included-file links below point to the reviewed source repository.

Agent Skills

2

ghostfetch, ghostfetch

MCP servers

1

Portable MCP configuration

Package format

Agent Plugins

Official latest 1.0.0

plugin.json

plugin.json from the fixed reviewed source snapshot.

README.md

README.md from the fixed reviewed source snapshot.

LICENSE

LICENSE from the fixed reviewed source snapshot.

Synced source content

Repository README

View original README

This README snapshot is stored by Agent Plugins Hub and refreshed by the daily GitHub synchronization pipeline. Remote images and embedded content are not loaded.

Source
https://github.com/iArsalanshah/GhostFetch#readme

This repository does not currently provide a README snapshot. The plugin instructions below remain available.

Source documentation

Ghostfetch source documentation

Request update View raw README.md

Rendered from the linked GitHub source. Raw HTML is disabled, scripts cannot execute, remote images are omitted, and external links open separately.

Catalog scope

This page describes the fixed source snapshot selected for the Agent Plugins Hub catalog. It does not extend the upstream package's claims.

Package summary

Stealthy headless browser service for AI agents. Bypasses anti-bot protections and returns clean, LLM-friendly Markdown.

Reviewed package inventory

  • Skills: ghostfetch, ghostfetch
  • MCP configurations: ghostfetch
  • Additional resources: None declared
  • Plugin directory: .
  • Reviewed commit: 2adb0353021daaeef89e5e28e2fc4b33632da698

Qualification snapshot

  • Industry-standard format score: 100/100
  • Plugin quality score: 78/100
  • Qualification score: 89/100
  • Classification: agent-plugin

Editorial assessment excerpt

GhostFetch is a well-scoped agent-oriented web-fetching plugin with a plugin manifest, MCP stdio configuration, CLI, Python SDK, REST API, Docker support, authenticated sessions, async jobs, Markdown output, and an accompanying skill guide. The documented workflows are reasonably actionable and the components appear coherent, with dedicated tests for authentication, jobs, security, MCP framing, and timeouts. Its value is differentiated beyond a trivial wrapper through browser automation, session…

The source CSV stores a 500-character assessment excerpt, so the paragraph above may end mid-sentence. It is review evidence, not a security guarantee or user rating.

Installation and verification

  1. Inspect the linked manifest and source documentation at the reviewed commit.
  2. Install from iArsalanshah/GhostFetch using the plugin directory ..
  3. Confirm your client discovers the declared components.
  4. Review credentials, commands, network access, permissions, and consequential side effects before use.

Provenance

Manifest: https://github.com/iArsalanshah/GhostFetch/blob/2adb0353021daaeef89e5e28e2fc4b33632da698/plugin.json

The catalog entry is pinned to the exact commit used during qualification. Upstream content may change after that snapshot.

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