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Textgain
by
Vlad Ursul
· GitHub ↗
· v1.0.3
· MIT-0
128
Downloads
0
Stars
0
Active Installs
4
Versions
Install in OpenClaw
/install textgain
Description
Textgain integration. Manage data, records, and automate workflows. Use when the user wants to interact with Textgain data.
Usage Guidance
This skill appears internally consistent: it uses the Membrane CLI to manage Textgain connections and explicitly avoids asking for raw API keys. Before installing, verify the publisher and npm package (@membranehq/cli) on npm and confirm the GitHub repository matches the publisher to avoid typosquatting. Prefer installing the CLI in a controlled environment (avoid global installs on multi-user/production machines) and review Membrane's privacy/security docs because your Textgain auth will be handled by their service. Do not paste API keys into chat; follow the guided browser auth flow and only enter the authorization code shown after completing login.
Capability Analysis
Type: OpenClaw Skill
Name: textgain
Version: 1.0.3
The skill bundle provides instructions for an AI agent to interact with the Textgain API using the Membrane CLI (@membranehq/cli). The instructions in SKILL.md cover standard operations such as installation, authentication, and action execution through the Membrane platform. No evidence of malicious intent, data exfiltration, or unauthorized execution was found; the skill focuses on legitimate integration logic.
Capability Assessment
Purpose & Capability
The skill claims to integrate with Textgain and all instructions focus on using the Membrane CLI to create a connection and run actions against Textgain. No unrelated credentials, binaries, or config paths are requested.
Instruction Scope
SKILL.md only instructs installing the Membrane CLI, logging in via Membrane, creating a Textgain connection, discovering and running actions, and polling build status. It does not direct the agent to read unrelated files, request unrelated secrets, or exfiltrate data to unexpected endpoints. It does instruct interactive authentication (browser or pasted code) which is expected for this flow.
Install Mechanism
No formal install spec is included in the registry metadata (instruction-only). The doc recommends installing @membranehq/cli from npm globally (npm install -g), which is a reasonable, common install path but does write a binary to disk and elevates trust to the npm package owner. Verify the package and publisher on npm before installing on production/shared systems.
Credentials
The skill declares no required env vars, no primary credential, and relies on Membrane to manage Textgain credentials server-side. This is proportionate: the integration needs the user to authenticate via Membrane but does not ask for unrelated secrets.
Persistence & Privilege
always is false and the skill is user-invocable. It does not request permanent agent-wide presence or instructions to modify other skills or system-wide settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install textgain - After installation, invoke the skill by name or use
/textgain - 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 Textgain?
Textgain integration. Manage data, records, and automate workflows. Use when the user wants to interact with Textgain data. It is an AI Agent Skill for Claude Code / OpenClaw, with 128 downloads so far.
How do I install Textgain?
Run "/install textgain" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Textgain free?
Yes, Textgain is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Textgain support?
Textgain is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Textgain?
It is built and maintained by Vlad Ursul (@gora050); the current version is v1.0.3.
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