agentspace

Agentspace provides a mechanism to share local agent files, logs, and artifacts via a live browser-accessible URL. It enables remote viewing, commenting, and editing of specified local paths through the ascli command-line tool.

324.0K
Installs
4
Use cases
9/10
Quality

Is agentspace safe to install?

Review the source first

Review the source first: our audit of agentspace's source files found 4 shell commands, 1 external URL, file reads and writes (high risk). Every command and URL listed appears verbatim in the skill's source. The skill executes shell commands to install and run the ascli tool and performs network requests to agentspace.so to upload and share local files.

How we audit skills: our security review methodology.

Who is this skill for?

Developers and AI agent users who need to share, monitor, or collaborate on agent-generated files and workspaces in real-time.

What can you do with it?

  • Sharing agent logs and build outputs for debugging
  • Collaborating on generated code or prototypes
  • Reviewing agent-created screenshots or reports from a remote device
  • Providing temporary access to local agent workspaces for teammates

How good is this skill?

Quality score: 9/10. The skill documentation is clear and provides specific instructions for CLI usage and data handling. The security guardrails are well-defined.

What does the skill file contain?

SKILL.md
# 🪢 Agentspace

**See what your agent is doing — from anywhere.**

Your agent keeps writing — logs, code, generated outputs. You open a URL and watch the folder evolve in the browser. No sync, no zip, no account.

1. Tell the agent to share any local folder or file.
2. The agent returns a URL — anyone opens it in the browser, no signup.

[agentspace.so](https://agentspace.so/?utm_source=skills.sh&utm_medium=skill&utm_campaign=agentspace) · [GitHub](https://github.com/agentspace-so/skills) · [npm @agentspace-so/ascli](https://www.npmjs.com/package/@agentspace-so/ascli)

## What you can share

...

Frequently asked questions

How long do shared workspaces remain active?

Anonymous workspaces remain active for 24 hours. Users can claim a workspace with an email address to make it permanent.

Does the skill automatically upload the entire current directory?

No. The skill only uploads the specific path the user explicitly names. It does not default to the current working directory unless the user provides clear instruction.

What permissions can I set for shared files?

Users can specify edit access using the --permission edit flag or view-only access using the --permission view flag.

Data sourced from agentspace-so/skills on GitHub. Install counts from skills.sh. The summary and security audit are derived from the skill's source files: every command and URL listed appears verbatim in the source.

Related skills

find-skills

2.3M

Users seeking to extend agent capabilities with specialized tools, workflows, or knowledge packages

The find-skills skill enables agents to search for, discover, and install modular packages from the open agent skills ecosystem using the Skills CLI.

highclipackage-managervercel-labs

agent-browser

506.7K

AI agents and developers requiring programmatic web interaction, exploratory testing, or automation of Electron desktop applications

The agent-browser CLI provides browser automation for AI agents using Chrome or Chromium via CDP. It supports page navigation, form interaction, data extraction, and testing. The tool utilizes accessibility-tree snapshots and element references for interaction.

highbrowser-automationclivercel-labs

video-edit

338.7K

Users of the RunComfy CLI who need to automate video editing tasks like restyling, background swapping, or motion transfer

The video-edit skill acts as a router for the RunComfy CLI, selecting between Wan 2.7 Edit-Video, Kling 2.6 Pro Motion Control, and Lucy Edit Restyle models based on user intent to perform video transformations.

highvideo-editingai-agentagentspace-so

ai-image-generation

229.9K

Developers and AI agents requiring programmatic access to diverse image generation and editing models through a unified CLI

The AI Image Generation skill provides a command-line interface for generating and editing images using the RunComfy platform. It routes requests across 11+ AI models, including FLUX 2, Google Nano Banana, OpenAI GPT Image 2, ByteDance Seedream, Alibaba Qwen, and Wan 2-7. The skill selects the appropriate model based on user intent, such as typography precision, photorealism, or speed, and executes the generation via the runcomfy CLI.

highimage-generationcliruncomfy-com