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Tettra
by
Vlad Ursul
· GitHub ↗
· v1.0.3
· MIT-0
192
Downloads
0
Stars
0
Active Installs
4
Versions
Install in OpenClaw
/install tettra
Description
Tettra integration. Manage data, records, and automate workflows. Use when the user wants to interact with Tettra data.
Usage Guidance
This skill is internally consistent: it expects you to install and use the Membrane CLI to talk to Tettra rather than asking for Tettra API keys. Before installing or using it, verify the @membranehq/cli npm package and the Membrane service: check the package publisher, repository, and recent activity on the package/GitHub; read the Membrane privacy/security docs to understand what Tettra content will be sent to their service; consider installing the CLI in a sandbox or non-global location; and avoid giving any manual API keys to the agent. If you don't trust a third-party broker for your internal knowledge base, prefer a direct Tettra integration you control or review Membrane's code/terms first.
Capability Analysis
Type: OpenClaw Skill
Name: tettra
Version: 1.0.3
The skill bundle provides a standard integration for Tettra using the Membrane CLI. The instructions in SKILL.md guide the agent through legitimate setup steps, including CLI installation, authentication, and action discovery via the Membrane platform. No evidence of malicious intent, data exfiltration, or harmful prompt injection was found; the skill actually encourages security best practices by offloading credential management to the Membrane service rather than handling raw API keys.
Capability Assessment
Purpose & Capability
Name/description (Tettra integration) align with the instructions: the skill uses Membrane to connect to Tettra, discover actions, and run them. There are no unrelated env vars, binaries, or config paths requested.
Instruction Scope
SKILL.md stays on-task: it tells the agent to install and use the Membrane CLI, authenticate, create a connection to the Tettra connector, discover and run actions, and avoid asking users for API keys. It does not instruct reading unrelated files or exfiltrating data.
Install Mechanism
There is no formal install spec in the registry (instruction-only), but the README instructs installing @membranehq/cli globally via npm (and examples use npx). Installing a global npm package fetches and runs third-party code from the npm registry, which is a moderate-risk action and requires trusting the package/publisher.
Credentials
The skill declares no required environment variables or credentials and explicitly advises letting Membrane manage credentials (do not ask users for API keys). This is proportionate to a connector-based integration, though it means you must trust Membrane with authentication and data access.
Persistence & Privilege
The skill is not always-enabled, does not request system-wide changes, and is instruction-only. It does not request persistent privileges or modify other skills or agent-wide settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install tettra - After installation, invoke the skill by name or use
/tettra - 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
Frequently Asked Questions
What is Tettra?
Tettra integration. Manage data, records, and automate workflows. Use when the user wants to interact with Tettra data. It is an AI Agent Skill for Claude Code / OpenClaw, with 192 downloads so far.
How do I install Tettra?
Run "/install tettra" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Tettra free?
Yes, Tettra is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Tettra support?
Tettra is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Tettra?
It is built and maintained by Vlad Ursul (@gora050); the current version is v1.0.3.
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