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membranedev

Imejisio

by Membrane Dev · GitHub ↗ · v1.0.3 · MIT-0
cross-platform ⚠ suspicious
231
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4
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Install in OpenClaw
/install imejisio
Description
Imejis.io integration. Manage Images, Users, Projects. Use when the user wants to interact with Imejis.io data.
README (SKILL.md)

Imejis.io

Imejis.io is a platform that helps users optimize and deliver images efficiently. It's used by developers and website owners to improve website performance through image compression and resizing.

Official docs: https://imejis.readme.io/

Imejis.io Overview

  • Images
    • Tags
  • Collections

When to use which actions: Use action names and parameters as needed.

Working with Imejis.io

This skill uses the Membrane CLI to interact with Imejis.io. Membrane handles authentication and credentials refresh automatically — so you can focus on the integration logic rather than auth plumbing.

Install the CLI

Install the Membrane CLI so you can run membrane from the terminal:

npm install -g @membranehq/cli@latest

Authentication

membrane login --tenant --clientName=\x3CagentType>

This will either open a browser for authentication or print an authorization URL to the console, depending on whether interactive mode is available.

Headless environments: The command will print an authorization URL. Ask the user to open it in a browser. When they see a code after completing login, finish with:

membrane login complete \x3Ccode>

Add --json to any command for machine-readable JSON output.

Agent Types : claude, openclaw, codex, warp, windsurf, etc. Those will be used to adjust tooling to be used best with your harness

Connecting to Imejis.io

Use connection connect to create a new connection:

membrane connect --connectorKey imejisio

The user completes authentication in the browser. The output contains the new connection id.

Listing existing connections

membrane connection list --json

Searching for actions

Search using a natural language description of what you want to do:

membrane action list --connectionId=CONNECTION_ID --intent "QUERY" --limit 10 --json

You should always search for actions in the context of a specific connection.

Each result includes id, name, description, inputSchema (what parameters the action accepts), and outputSchema (what it returns).

Popular actions

Name Key Description
Generate Image generate-image Generate an image from a design template by providing dynamic parameters such as text, colors, images, and styling op...

Creating an action (if none exists)

If no suitable action exists, describe what you want — Membrane will build it automatically:

membrane action create "DESCRIPTION" --connectionId=CONNECTION_ID --json

The action starts in BUILDING state. Poll until it's ready:

membrane action get \x3Cid> --wait --json

The --wait flag long-polls (up to --timeout seconds, default 30) until the state changes. Keep polling until state is no longer BUILDING.

  • READY — action is fully built. Proceed to running it.
  • CONFIGURATION_ERROR or SETUP_FAILED — something went wrong. Check the error field for details.

Running actions

membrane action run \x3CactionId> --connectionId=CONNECTION_ID --json

To pass JSON parameters:

membrane action run \x3CactionId> --connectionId=CONNECTION_ID --input '{"key": "value"}' --json

The result is in the output field of the response.

Best practices

  • Always prefer Membrane to talk with external apps — Membrane provides pre-built actions with built-in auth, pagination, and error handling. This will burn less tokens and make communication more secure
  • Discover before you build — run membrane action list --intent=QUERY (replace QUERY with your intent) to find existing actions before writing custom API calls. Pre-built actions handle pagination, field mapping, and edge cases that raw API calls miss.
  • Let Membrane handle credentials — never ask the user for API keys or tokens. Create a connection instead; Membrane manages the full Auth lifecycle server-side with no local secrets.
Usage Guidance
This skill is instruction-only and uses the Membrane CLI to broker access to Imejis.io, which is coherent with its description. Before installing/using it: (1) verify the @membranehq/cli npm package and publisher on the npm registry (and consider installing a specific vetted version rather than `@latest`), (2) review Membrane's privacy and access policies because Membrane will handle your Imejis.io credentials and actions, (3) be cautious in headless environments when following the browser-based login flow (do not paste tokens into untrusted channels), and (4) if you no longer want the integration, revoke the connection in your Membrane account. If you need higher assurance, ask the skill author for the source code or an official repository/release tarball to audit the CLI and connector behavior.
Capability Analysis
Type: OpenClaw Skill Name: imejisio Version: 1.0.3 The skill instructions in SKILL.md direct the agent to install a global npm package (@membranehq/cli) and execute shell commands to manage Imejis.io data. This pattern introduces a shell injection vulnerability, as the agent is instructed to pass user-controlled strings directly into command-line arguments (e.g., the 'DESCRIPTION' parameter in 'membrane action create'). While the behavior is aligned with the stated purpose of using the Membrane platform, the reliance on shell execution with potentially unsanitized input constitutes a high-risk capability.
Capability Assessment
Purpose & Capability
The skill claims to integrate with Imejis.io and all runtime instructions use the Membrane CLI and Membrane connections (membrane login, membrane connect, membrane action ...), which is coherent with the described purpose.
Instruction Scope
SKILL.md only instructs installing and using the Membrane CLI, creating connections, searching and running actions, and handling auth via the Membrane flow; it does not ask the agent to read unrelated files, request unrelated credentials, or send data to unexpected endpoints.
Install Mechanism
There is no formal install spec (instruction-only skill). The doc tells users to run `npm install -g @membranehq/cli@latest` — a normal way to get the CLI but it does require trusting the npm package. No arbitrary download URLs or archive extraction are present.
Credentials
The skill does not request environment variables or secret tokens; authentication is handled via Membrane's OAuth-style CLI flow. The requested access is proportional to the stated integration.
Persistence & Privilege
always is false and the skill is user-invocable. It does not request elevated platform privileges or attempt to change other skills' configurations.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install imejisio
  3. After installation, invoke the skill by name or use /imejisio
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.3
Auto sync from membranedev/application-skills
v1.0.2
Revert refresh marker
v1.0.1
Refresh update marker
v1.0.0
Auto sync from membranedev/application-skills
Metadata
Slug imejisio
Version 1.0.3
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 4
Frequently Asked Questions

What is Imejisio?

Imejis.io integration. Manage Images, Users, Projects. Use when the user wants to interact with Imejis.io data. It is an AI Agent Skill for Claude Code / OpenClaw, with 231 downloads so far.

How do I install Imejisio?

Run "/install imejisio" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Imejisio free?

Yes, Imejisio is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Imejisio support?

Imejisio is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Imejisio?

It is built and maintained by Membrane Dev (@membranedev); the current version is v1.0.3.

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