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gora050

Trengo

by Vlad Ursul · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ✓ Security Clean
117
Downloads
0
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0
Active Installs
2
Versions
Install in OpenClaw
/install trengo
Description
Trengo integration. Manage data, records, and automate workflows. Use when the user wants to interact with Trengo data.
Usage Guidance
This skill delegates all Trengo access to the Membrane service and instructs you to install the @membranehq/cli from npm. Before installing/using it: (1) verify the Membrane npm package and the project's repository/homepage (getmembrane.com and the listed GitHub repo) to ensure they are legitimate; (2) be aware that giving Membrane a connection to Trengo grants that service access to your Trengo data—review its privacy/security docs and the account you use; (3) prefer using npx for one-off runs or audit what the global npm install will place on your system if you have restrictions; (4) do not enter Trengo API keys into the skill—follow the described auth flow; (5) if you need higher assurance, test in a non-production account or request more provenance about the skill owner before granting access.
Capability Analysis
Type: OpenClaw Skill Name: trengo Version: 1.0.1 The 'trengo' skill provides instructions for an AI agent to manage Trengo data using the Membrane CLI (@membranehq/cli). The SKILL.md file outlines standard procedures for authentication, connection management, and action execution through the Membrane platform. There is no evidence of malicious intent, data exfiltration, or unauthorized execution; the skill focuses on leveraging a third-party integration service to handle API interactions and credentials securely.
Capability Assessment
Purpose & Capability
Name/description claim Trengo integration and the SKILL.md exclusively instructs using the Membrane CLI to connect to Trengo, discover and run actions. Required items (no env vars, no config paths) match that scope.
Instruction Scope
Instructions are narrowly scoped to installing/using the Membrane CLI (login, connect, action list/run/create). They do require network access and interactive auth (browser or headless code exchange), which aligns with the described workflow and do not ask the agent to read unrelated files or secrets.
Install Mechanism
No install spec in registry (instruction-only). The docs recommend installing @membranehq/cli from npm (global or npx). Installing a CLI from npm is reasonable for this integration but has the usual supply-chain considerations (npm package execution privilege).
Credentials
The skill does not request environment variables, credentials, or config paths. Authentication is delegated to Membrane (server-side), which is appropriate for this integration; however, this shifts trust to Membrane's service for storing/refreshing credentials.
Persistence & Privilege
always is false and the skill is user-invocable; autonomous invocation is enabled by default but not excessive here. The skill does not request system-wide configuration or other skills' credentials.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install trengo
  3. After installation, invoke the skill by name or use /trengo
  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 trengo
Version 1.0.1
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 2
Frequently Asked Questions

What is Trengo?

Trengo integration. Manage data, records, and automate workflows. Use when the user wants to interact with Trengo data. It is an AI Agent Skill for Claude Code / OpenClaw, with 117 downloads so far.

How do I install Trengo?

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

Is Trengo free?

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

Which platforms does Trengo support?

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

Who created Trengo?

It is built and maintained by Vlad Ursul (@gora050); the current version is v1.0.1.

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