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Sigma
by
Vlad Ursul
· GitHub ↗
· v1.0.1
· MIT-0
136
Downloads
0
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0
Active Installs
2
Versions
Install in OpenClaw
/install sigma
Description
Sigma integration. Manage data, records, and automate workflows. Use when the user wants to interact with Sigma data.
Usage Guidance
This skill is coherent but depends on the Membrane CLI and a Membrane account. Before installing: (1) Verify @membranehq/cli on npm and the project's GitHub (the SKILL.md points to getmembrane.com and the repo) to ensure you trust the publisher. (2) Prefer npx or installation into an isolated environment/VM if you want to avoid a global npm install. (3) Understand that Membrane will act as an intermediary with access to your Sigma connections — review Membrane's privacy/security docs and the permissions you grant. (4) The headless login requires pasting a code; only enter such codes if you initiated the login flow. If you do not trust Membrane or cannot validate the CLI package, do not install the CLI or provide authorization.
Capability Analysis
Type: OpenClaw Skill
Name: sigma
Version: 1.0.1
The 'sigma' skill bundle provides instructions for an AI agent to integrate with the Sigma analytics platform using the Membrane CLI. It includes standard procedures for installing the CLI via npm, authenticating, and managing data connections and actions. The instructions in SKILL.md are transparent, well-documented, and strictly aligned with the stated purpose of data exploration and workflow automation without any indicators of malicious intent or unauthorized data access.
Capability Assessment
Purpose & Capability
The name/description (Sigma integration) matches the instructions: everything centers on using the Membrane CLI to create a connection and run Sigma-related actions. There are no unrelated env vars, binaries, or config path requirements.
Instruction Scope
SKILL.md stays on-topic: it instructs installing the Membrane CLI, logging in, creating a Sigma connection, discovering and running actions. The only user-interaction nuance is the OAuth/device-like flow where a user may open a URL and paste a code so the CLI can complete login — this is expected for headless auth but requires user trust.
Install Mechanism
Installation is an npm global install of @membranehq/cli@latest. This is a typical distribution channel but carries moderate risk (arbitrary code from npm). Consider verifying the package source and using npx or an isolated environment if you prefer not to install globally.
Credentials
The skill declares no required environment variables or credentials and explicitly instructs you not to share API keys, instead relying on Membrane to manage auth. The credential model (Membrane as intermediary) is proportionate to the stated purpose.
Persistence & Privilege
The skill does not request persistent presence (always:false) and does not attempt to modify other skills or system-wide settings. Autonomous invocation (disable-model-invocation:false) is default and not by itself concerning.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install sigma - After installation, invoke the skill by name or use
/sigma - 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 Sigma?
Sigma integration. Manage data, records, and automate workflows. Use when the user wants to interact with Sigma data. It is an AI Agent Skill for Claude Code / OpenClaw, with 136 downloads so far.
How do I install Sigma?
Run "/install sigma" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Sigma free?
Yes, Sigma is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Sigma support?
Sigma is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Sigma?
It is built and maintained by Vlad Ursul (@gora050); the current version is v1.0.1.
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