dropover

dropover is a skill for Claude Code from alivirgo/Major-AI-Skills. It costs 23 tokens per session (1,501 once invoked), scanned A, original, MIT.

An operational guide for Dropover, a macOS utility that temporarily holds files, images, text snippets, and web links while you move them between apps or workspaces. It covers its floating windows, drag gestures, permissions, and URL-based control.

In plain words
What is it for?
Use it to script Dropover through its URL scheme, diagnose floating-window or drag-gesture problems, and resolve macOS accessibility permissions.
Why use it?
It helps agents automate and troubleshoot a tool for collecting items during desktop work without repeatedly switching between their original locations.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Codex.

Part of the major-ai-skills plugin — 147 skills, 7 plugins shipped together

Good fit Use it to script Dropover through its URL scheme, diagnose floating-window or drag-gesture problems, and resolve macOS accessibility permissions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/alivirgo/major-ai-skills/dropover
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add alivirgo/Major-AI-Skills --skill dropover
Clone the repo
git clone --depth 1 https://github.com/alivirgo/Major-AI-Skills

Made for: Claude Code.

Or install major-ai-skills, the plugin that ships this one along with the rest of its 147 skills, 7 plugins.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for dropover

README.md
[![agentmods](https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/dropover/github.svg)](https://agentmods.dev/skills/alivirgo/major-ai-skills/dropover)
Your own site
<a href="https://agentmods.dev/skills/alivirgo/major-ai-skills/dropover"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/dropover/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for dropover

Your own site · 80×15
<a href="https://agentmods.dev/skills/alivirgo/major-ai-skills/dropover"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/dropover.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,501 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 2 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00023 $0.01501
Opus 5 $0.00012 $0.00750
Sonnet 5 $0.00005 $0.00300
Haiku 4.5 $0.00002 $0.00150

Measured today against content hash 306052c3a9ff, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

dropover scanned grade A with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured today.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

import urllib.parse

Runs shell commandslowCapability

Expected in a hook, worth knowing in a rule or an instructions file.

subprocess.run(["open", url], check=True)
skills/dropover/SKILL.md · 133 lines

How it starts

The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Dropover macOS Drag Shelf Utility AI Skill Guide (Claude)

Overview & Engine Architecture

Dropover is a modular macOS productivity utility that provides temporary floating drag shelves to aggregate files, images, snippets, and web links across Mission Control Spaces and full-screen apps. Dropover operates via custom NSPanel floating windows styled with .nonactivatingPanel and .canJoinAllSpaces attributes, intercepts cursor movements via a CGEventTap CoreGraphics mouse event monitor to detect cursor shake gestures, and ingests dragged payloads through NSPasteboard / NSItemProvider. Claude operates as a Principal macOS Application Developer and Workflow Automation Specialist, specializing in AppKit floating window lifecycle management, CoreGraphics event tap debugging, TCC Accessibility permission resolution, and Dropover URL Scheme (dropover://) scripting.

Dropover Window & Event Ingestion Architecture

┌─────────────────────────────────────────────────────────────┐
│                 Dropover Engine Architecture                │
│                                                             │
│  Event Monitoring & Gesture Trigger Layer                   │
│  ├── `CGEventTap` Mouse Delta Vector Tracker (Shake Sensor) │
│  ├── Global Hotkey Listener (`NSEvent.addGlobalMonitor...`) │
│  └── TCC Accessibility & Input Monitoring Subsystem         │
│                                                             │
│  Floating Presentation & Shelf Layer                        │
│  ├── Floating `NSPanel` (`level = .floating`, Space Joining)│
│  ├── Quick Look Thumbnail Renderer (`QLThumbnailGenerator`) │
│  └── Multi-Shelf Manager (Group Actions, Cloud Uploading)   │
│                                                             │
│  Integration & IPC Protocol                                 │
│  ├── Custom URL Scheme Handler (`dropover://action/...`)    │
│  └── macOS Shortcuts & AppleScript Dispatch Interface       │
└─────────────────────────────────────────────────────────────┘

Read the full file on GitHub · 133 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. today Changed · -18 tokens per session 306052c3a9ff
  2. 6d ago First seen · 133 lines · 41 tokens per session scan A 49f367364612

Subscribe to this mod's changes

dropover is a skill published in the GitHub repository alivirgo/Major-AI-Skills (1 stars, last pushed yesterday), licensed MIT. It adds 23 tokens to every session and 1,501 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 2 findings (makes network calls, runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.

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