Industry-standard reviewDesignv0.1.0

atta-desktop Agent Plugin

A canvas your agent can read and write to — create charts, interactive data apps, SVG diagrams, and run local Python on the Atta Desktop canvas. This catalog entry is pinned to reviewed commit 531684cf416f and records a qualification score of 93/100.

0 repository stars MIT Updated Aug 6, 2026

Independent catalog review

Qualification snapshot

Qualified

Format

100/100

Quality

86/100

Qualified

93/100

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

Installation

Install Atta Desktop

Install the plugin from fastview-ai/atta-desktop-plugin 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/fastview-ai/atta-desktop-plugin.git
cd atta-desktop-plugin
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: mcp.json returned 403.

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.

A well-scoped Agent Plugins/MCP integration for Atta Desktop, with a clear canvas-oriented purpose and substantial practical capabilities: chart creation, interactive React/Python data apps, SVG diagrams, block editing, canvas inspection, layout, export, and local Python execution. The skills are coherent and actionable, especially the distinction between creating versus editing blocks, required MCP resources, validation behavior, positioning, and connection troubleshooting. Installation guidanc

Capabilities

What can you do with atta-desktop?

A canvas your agent can read and write to — create charts, interactive data apps, SVG diagrams, and run local Python on the Atta Desktop canvas.

The reviewed package declares 5 skill(s), 1 MCP configuration(s), and 0 additional resource(s).

  • Use the create-chart skill from the reviewed package
  • Use the create-data-app skill from the reviewed package
  • Use the create-svg skill from the reviewed package
  • Connect through the atta-desktop MCP configuration
  • Review the fixed plugin manifest at commit 531684cf416f
  • Install the package from fastview-ai/atta-desktop-plugin/.

Reviewed package scope

A canvas your agent can read and write to — create charts, interactive data apps, SVG diagrams, and run local Python on the Atta Desktop canvas.

Fixed-source qualification

Inspect the package at commit 531684cf416f with recorded format, quality, and qualification evidence.

Practical workflow

A source-backed Atta Desktop 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 atta-desktop?

atta-desktop declares 5 Skills, 1 MCP configuration, and 0 additional resources. The included-file links below point to the reviewed source repository.

Agent Skills

5

create-chart, create-data-app, create-svg, editing-blocks, ensure-desktop-running

MCP servers

1

Portable MCP configuration

Package format

Agent Plugins

Official latest 1.0.0

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/fastview-ai/atta-desktop-plugin#readme

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

Source documentation

Atta Desktop source documentation

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

A canvas your agent can read and write to — create charts, interactive data apps, SVG diagrams, and run local Python on the Atta Desktop canvas.

Reviewed package inventory

  • Skills: create-chart, create-data-app, create-svg, editing-blocks, ensure-desktop-running
  • MCP configurations: atta-desktop
  • Additional resources: None declared
  • Plugin directory: .
  • Reviewed commit: 531684cf416f6aed75e4a5efb82c00eb4767cf60

Qualification snapshot

  • Industry-standard format score: 100/100
  • Plugin quality score: 86/100
  • Qualification score: 93/100
  • Classification: agent-plugin

Editorial assessment excerpt

A well-scoped Agent Plugins/MCP integration for Atta Desktop, with a clear canvas-oriented purpose and substantial practical capabilities: chart creation, interactive React/Python data apps, SVG diagrams, block editing, canvas inspection, layout, export, and local Python execution. The skills are coherent and actionable, especially the distinction between creating versus editing blocks, required MCP resources, validation behavior, positioning, and connection troubleshooting. Installation guidanc…

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 fastview-ai/atta-desktop-plugin 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/fastview-ai/atta-desktop-plugin/blob/531684cf416f6aed75e4a5efb82c00eb4767cf60/plugin.json

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