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gora050

Signicat

by Vlad Ursul · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ✓ Security Clean
118
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2
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Install in OpenClaw
/install signicat
Description
Signicat integration. Manage data, records, and automate workflows. Use when the user wants to interact with Signicat data.
Usage Guidance
This skill is an instruction-only wrapper that relies on the Membrane CLI to access Signicat. Before installing or running commands: (1) confirm you trust Membrane/@membranehq and its npm package; global npm installs change your system environment, so prefer npx if you want to avoid a persistent install; (2) be prepared to complete an interactive login (authorization URL/code) when creating a connection; (3) verify the Signicat connection and permissions shown in the browser during login — the skill itself does not request API keys but the underlying connector will be granted access to Signicat data; (4) because the skill can be invoked by an agent, ensure you only enable it for agents you trust to act on your behalf.
Capability Analysis
Type: OpenClaw Skill Name: signicat Version: 1.0.1 The skill bundle contains instructions for an AI agent to interact with the Signicat identity platform using the Membrane CLI. It follows standard integration patterns, including installing the official CLI tool (`@membranehq/cli`), authenticating via OAuth, and managing connections/actions through the Membrane service. No malicious code, data exfiltration, or deceptive prompt injections were identified in SKILL.md or _meta.json.
Capability Assessment
Purpose & Capability
Name/description (Signicat integration) align with the instructions: the SKILL.md exclusively guides the user to use the Membrane CLI to connect to Signicat and run actions. No unrelated services, binaries, or credentials are requested.
Instruction Scope
Runtime instructions are limited to installing/using the Membrane CLI, logging in, creating a connection to the Signicat connector, discovering and running actions. The doc explicitly advises against asking users for API keys and does not instruct reading unrelated files or environment variables.
Install Mechanism
There is no automated install spec in the package (instruction-only). The SKILL.md suggests installing @membranehq/cli globally via npm or using npx. This is a user-choice, standard approach, but a global npm install modifies system state and should be performed only if you trust the Membrane CLI source.
Credentials
The skill declares no required environment variables or credentials and instructs relying on Membrane to manage auth. There are no requests for unrelated secrets or configuration paths.
Persistence & Privilege
The skill is instruction-only, does not request always:true, and does not attempt to modify other skills or system-wide agent settings. Normal autonomous invocation is allowed by platform defaults but not abused by this skill's instructions.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install signicat
  3. After installation, invoke the skill by name or use /signicat
  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 signicat
Version 1.0.1
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 2
Frequently Asked Questions

What is Signicat?

Signicat integration. Manage data, records, and automate workflows. Use when the user wants to interact with Signicat data. It is an AI Agent Skill for Claude Code / OpenClaw, with 118 downloads so far.

How do I install Signicat?

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

Is Signicat free?

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

Which platforms does Signicat support?

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

Who created Signicat?

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

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