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Tomba
by
Vlad Ursul
· GitHub ↗
· v1.0.1
· MIT-0
117
Downloads
0
Stars
0
Active Installs
2
Versions
Install in OpenClaw
/install tomba
Description
Tomba integration. Manage data, records, and automate workflows. Use when the user wants to interact with Tomba data.
Usage Guidance
This skill is coherent: it uses Membrane as an intermediary to access Tomba and asks you to install the official Membrane CLI. Before installing, verify the npm package (@membranehq/cli) and its publisher, review the project's homepage/repository, and consider installing in an isolated environment if you don't trust the package yet. Be aware `npm install -g` runs code and creates a global binary; the CLI will require network access and an interactive login which may persist local auth tokens. The skill does not ask for unrelated secrets or system access.
Capability Analysis
Type: OpenClaw Skill
Name: tomba
Version: 1.0.1
The tomba skill is a standard integration for the Tomba lead generation service via the Membrane CLI (@membranehq/cli). It provides instructions for the agent to authenticate, search for actions, and execute workflows through the Membrane platform. No malicious behavior, data exfiltration, or harmful prompt injections were identified; the skill follows security best practices by advising against manual credential handling and using a centralized platform for API interactions.
Capability Assessment
Purpose & Capability
The skill is an integration for Tomba and consistently instructs the agent to use the Membrane CLI and a Membrane account to connect to the Tomba connector. There are no unrelated credentials, binaries, or config paths requested that would be disproportionate to a connector integration.
Instruction Scope
SKILL.md stays on‑task: it describes installing the Membrane CLI, logging in, creating/using a Tomba connection, discovering and running actions. It does not instruct reading arbitrary host files or exfiltrating data beyond using Membrane. The guidance to let Membrane handle creds reduces agent-side secret handling.
Install Mechanism
There is no packaged install spec in the registry (instruction-only), but SKILL.md tells the user to run `npm install -g @membranehq/cli@latest`. This is a typical npm install but does execute third‑party code on your machine and installs a global binary; you should review the npm package and its maintainers before installing. No raw downloads or obscure URLs are used.
Credentials
The skill requests no environment variables or local config paths and relies on Membrane's interactive login for auth. That is proportionate for a connector-based integration. The SKILL.md explicitly advises not to ask users for API keys.
Persistence & Privilege
The skill is not always-enabled and is user-invocable. It does not request persistent platform privileges. Installing the CLI is a separate action that will create a global executable and may store local auth state for the Membrane CLI; consider where you install CLI tools and what local tokens they store.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install tomba - After installation, invoke the skill by name or use
/tomba - 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
Frequently Asked Questions
What is Tomba?
Tomba integration. Manage data, records, and automate workflows. Use when the user wants to interact with Tomba data. It is an AI Agent Skill for Claude Code / OpenClaw, with 117 downloads so far.
How do I install Tomba?
Run "/install tomba" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Tomba free?
Yes, Tomba is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Tomba support?
Tomba is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Tomba?
It is built and maintained by Vlad Ursul (@gora050); the current version is v1.0.1.
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