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Nhanh
by
Vlad Ursul
· GitHub ↗
· v1.0.0
· MIT-0
82
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install nhanh
Description
Nhanh integration. Manage Recordses. Use when the user wants to interact with Nhanh data.
Usage Guidance
This skill is instruction-only and coherent: it tells you to install and use the official Membrane CLI to connect to Nhanh and run actions. Before installing or running anything, verify the @membranehq/cli npm package and repository (publisher, download counts, repo contents). Installing the CLI globally (npm install -g) will modify your system; prefer using npx if you want a transient run. During authentication you'll be asked to perform a browser-based login and paste a code for headless environments — do not paste secrets into untrusted prompts. Confirm that Membrane's account/connection permissions match what you expect (what data will be accessible) before authorizing. If you have limited trust in external packages, inspect the CLI source code in the linked repo or test in an isolated environment.
Capability Analysis
Type: OpenClaw Skill
Name: nhanh
Version: 1.0.0
The skill provides instructions for an AI agent to interact with the Nhanh data management platform via the Membrane CLI (@membranehq/cli). The logic focuses on standard API operations such as listing, creating, and running actions through a managed integration service, specifically emphasizing secure credential handling by delegating authentication to the Membrane platform. No indicators of malicious intent, data exfiltration, or unauthorized execution were found in SKILL.md or _meta.json.
Capability Assessment
Purpose & Capability
The skill claims to integrate with Nhanh and all runtime instructions use the Membrane CLI to connect, discover, and run actions against Nhanh. It does not request unrelated credentials or access.
Instruction Scope
SKILL.md instructs only CLI flows needed to authenticate (membrane login), create a connection, discover actions, and run them. It does not ask the agent to read unrelated files, exfiltrate data, or access extra environment variables. It does require the user to perform interactive authentication in a browser (or complete a headless flow).
Install Mechanism
There is no formal install spec in the registry metadata, but the SKILL.md tells users to install @membranehq/cli via npm (global) or use npx. Installing a global npm package will write to disk and modify the system PATH — this is expected for a CLI but is a moderately higher-risk install method than instruction-only. The package is from the public npm registry; verify the package name and publisher before installing.
Credentials
No environment variables, secrets, or config paths are required by the skill. Authentication is delegated to Membrane and performed interactively; the SKILL.md explicitly advises not to ask users for API keys, which is proportionate.
Persistence & Privilege
The skill does not request persistent or forced presence (always:false). It is an instruction-only skill and does not claim to modify other skills or global agent settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install nhanh - After installation, invoke the skill by name or use
/nhanh - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Auto sync from membranedev/application-skills
Metadata
Frequently Asked Questions
What is Nhanh?
Nhanh integration. Manage Recordses. Use when the user wants to interact with Nhanh data. It is an AI Agent Skill for Claude Code / OpenClaw, with 82 downloads so far.
How do I install Nhanh?
Run "/install nhanh" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Nhanh free?
Yes, Nhanh is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Nhanh support?
Nhanh is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Nhanh?
It is built and maintained by Vlad Ursul (@gora050); the current version is v1.0.0.
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