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Wachete
by
Vlad Ursul
· GitHub ↗
· v1.0.3
· MIT-0
145
Downloads
0
Stars
0
Active Installs
4
Versions
Install in OpenClaw
/install wachete
Description
Wachete integration. Manage data, records, and automate workflows. Use when the user wants to interact with Wachete data.
Usage Guidance
This skill appears internally consistent, but consider the following before installing: 1) The workflow sends action descriptions and commands to Membrane's servers — only proceed if you trust getmembrane.com / Membrane. 2) Prefer using npx or pinning a specific CLI version rather than npm install -g to reduce supply-chain and global-install risks. 3) The CLI performs authentication in a browser/URL flow; you will grant Membrane access to Wachete data when creating the connection. 4) No environment variables or local secrets are requested by the skill itself — do not share API keys directly to the agent. If you need higher assurance, review the Membrane CLI package source and the referenced GitHub repository before installation.
Capability Analysis
Type: OpenClaw Skill
Name: wachete
Version: 1.0.3
The skill bundle provides instructions for integrating with Wachete via the Membrane CLI. It follows security best practices by delegating authentication and secret management to the Membrane platform rather than requesting API keys directly. The instructions in SKILL.md are focused on legitimate service discovery and action execution, with no evidence of data exfiltration, malicious execution, or harmful prompt injection.
Capability Assessment
Purpose & Capability
The SKILL.md describes interacting with Wachete via the Membrane platform and the Membrane CLI; required actions (login, connect, action list/run/create) match that purpose. No unrelated credentials, binaries, or config paths are requested.
Instruction Scope
Runtime instructions are limited to installing/using the Membrane CLI, authenticating via Membrane, creating/listing/running actions, and interacting with a Wachete connector. The instructions do not ask the agent to read arbitrary local files or access unrelated environment variables. Note: using the CLI will transmit action descriptions and run requests to Membrane's backend (expected for this integration).
Install Mechanism
Install is instruction-only and recommends npm install -g @membranehq/cli@latest or npx usage. This is proportionate for a CLI-based integration, but global npm installs carry normal supply-chain and privilege risks (use npx or pin a version if you want to reduce risk).
Credentials
The skill declares no required environment variables or primary credentials and explicitly instructs to let Membrane manage auth. There are no disproportionate secret or config requests.
Persistence & Privilege
The skill is not always-enabled and does not request system-wide configuration changes. It's instruction-only and will not persist credentials locally according to the documentation (Membrane handles auth server-side).
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install wachete - After installation, invoke the skill by name or use
/wachete - 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 Wachete?
Wachete integration. Manage data, records, and automate workflows. Use when the user wants to interact with Wachete data. It is an AI Agent Skill for Claude Code / OpenClaw, with 145 downloads so far.
How do I install Wachete?
Run "/install wachete" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Wachete free?
Yes, Wachete is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Wachete support?
Wachete is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Wachete?
It is built and maintained by Vlad Ursul (@gora050); the current version is v1.0.3.
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