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membranedev

Mattr

by Membrane Dev · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ✓ Security Clean
107
Downloads
0
Stars
0
Active Installs
2
Versions
Install in OpenClaw
/install mattr
Description
MATTR integration. Manage data, records, and automate workflows. Use when the user wants to interact with MATTR data.
Usage Guidance
This skill appears coherent and focused on using the Membrane CLI to manage MATTR resources. Before installing/using it: 1) verify the @membranehq/cli package and its npm/GitHub source (use the project repository link) to reduce supply-chain risk; prefer npx if you don't want a global install; 2) be aware the CLI will require network access and a Membrane account and will manage auth server-side — do not share raw API keys; 3) review any actions you create/run (they operate on your MATTR data) and run the CLI in a controlled environment if you have strict security requirements.
Capability Analysis
Type: OpenClaw Skill Name: mattr Version: 1.0.1 The skill provides instructions for an AI agent to interact with the MATTR decentralized identity platform via the Membrane CLI. It focuses on legitimate operations such as managing connections, discovering actions, and executing workflows through the `membrane` command-line tool. The instructions in SKILL.md explicitly advise the agent to let the platform handle credentials rather than asking the user for secrets, which aligns with security best practices. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found.
Capability Assessment
Purpose & Capability
The name/description (MATTR integration) match the runtime instructions: all actions are performed via the Membrane CLI to interact with MATTR. No unrelated services, binaries, or credentials are requested.
Instruction Scope
SKILL.md stays on-topic: it instructs installing/using the Membrane CLI, logging in, creating connections, listing/searching/creating/running actions. It does not ask to read arbitrary local files, harvest env vars, or send data to unexpected endpoints.
Install Mechanism
There is no packaged install spec for the skill itself, but the instructions tell users/agents to run `npm install -g @membranehq/cli@latest` (or use npx). A global npm install is a reasonable way to obtain a CLI but carries moderate risk because it writes code to the system and executes package-provided binaries; using `npx` or verifying the package/source reduces exposure.
Credentials
The skill declares no required env vars or credentials and explicitly instructs to avoid asking users for API keys, relying on Membrane to handle auth. Requested agent types list is informational only and not credential-bearing.
Persistence & Privilege
The registry flags show no forced/always-on privilege. The skill is user-invocable and may be invoked autonomously (platform default), but it does not request persistent system-wide configuration or access to other skills' secrets.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install mattr
  3. After installation, invoke the skill by name or use /mattr
  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 mattr
Version 1.0.1
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 2
Frequently Asked Questions

What is Mattr?

MATTR integration. Manage data, records, and automate workflows. Use when the user wants to interact with MATTR data. It is an AI Agent Skill for Claude Code / OpenClaw, with 107 downloads so far.

How do I install Mattr?

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

Is Mattr free?

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

Which platforms does Mattr support?

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

Who created Mattr?

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

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