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membranedev

Paystand

by Membrane Dev · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ✓ Security Clean
123
Downloads
0
Stars
0
Active Installs
2
Versions
Install in OpenClaw
/install paystand
Description
Paystand integration. Manage data, records, and automate workflows. Use when the user wants to interact with Paystand data.
Usage Guidance
This skill is instruction-only and tells you to use the Membrane CLI to access Paystand. Before installing or running commands: 1) Verify you trust getmembrane.com and the @membranehq/cli package (check the official repo and package maintainer). 2) Be aware that running npm install -g modifies system-wide binaries—use npx if you prefer not to install globally. 3) Authentication uses a browser flow; do not share login codes. 4) The skill will perform network actions via the Membrane service, so review what access that account has to your Paystand data and apply least privilege. If any of these points are unacceptable, do not install or run the CLI.
Capability Analysis
Type: OpenClaw Skill Name: paystand Version: 1.0.1 The skill bundle provides instructions for an AI agent to interact with the Paystand B2B payments platform via the Membrane CLI. It outlines standard procedures for installation (npm install), authentication (membrane login), and executing API actions through a managed service. No evidence of malicious intent, data exfiltration, or unauthorized persistence was found; the skill follows the documented patterns for Membrane-based integrations in SKILL.md.
Capability Tags
cryptocan-make-purchases
Capability Assessment
Purpose & Capability
Name/description (Paystand integration) match the instructions: all actions use the Membrane CLI to connect to Paystand and run or create actions. No unrelated credentials, binaries, or services are requested.
Instruction Scope
SKILL.md restricts runtime activity to installing/using the Membrane CLI, running Membrane commands, and following an OAuth-style browser flow. It does not instruct reading unrelated files, harvesting environment variables, or sending data to unexpected endpoints.
Install Mechanism
There is no formal install spec (skill is instruction-only). The docs recommend installing @membranehq/cli via npm -g or using npx. Installing a global npm package is a normal but privileged action (writes to system paths); this is a manual recommendation rather than an automatic install.
Credentials
The skill declares no required env vars or credentials and relies on Membrane's managed auth. That is proportionate for an integration that delegates auth to a third-party service.
Persistence & Privilege
Skill is not always-enabled and does not request persistent system privileges or modify other skills. Model invocation is allowed (platform default), which by itself is not a concern given the rest of the footprint.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install paystand
  3. After installation, invoke the skill by name or use /paystand
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
Auto sync from membranedev/application-skills
v1.0.0
Auto sync from membranedev/application-skills
Metadata
Slug paystand
Version 1.0.1
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 2
Frequently Asked Questions

What is Paystand?

Paystand integration. Manage data, records, and automate workflows. Use when the user wants to interact with Paystand data. It is an AI Agent Skill for Claude Code / OpenClaw, with 123 downloads so far.

How do I install Paystand?

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

Is Paystand free?

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

Which platforms does Paystand support?

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

Who created Paystand?

It is built and maintained by Membrane Dev (@membranedev); the current version is v1.0.1.

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