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Rapidoc
by
Vlad Ursul
· GitHub ↗
· v1.0.3
· MIT-0
148
Downloads
0
Stars
0
Active Installs
4
Versions
Install in OpenClaw
/install rapidoc
Description
RapiDoc integration. Manage data, records, and automate workflows. Use when the user wants to interact with RapiDoc data.
Usage Guidance
This skill appears coherent, but before installing run these checks: 1) Inspect the @membranehq/cli package on npm and its GitHub repository to confirm maintainership and recent releases. 2) Prefer using `npx @membranehq/cli@latest` or a local install instead of `npm install -g` if you want to avoid global changes. 3) Understand that Membrane will hold authentication and connector details — only proceed if you trust Membrane to manage those credentials and any RapiDoc/OpenAPI specs you expose. 4) Verify that a 'rapidoc' connector exists in your Membrane tenant and that automatically created actions (via membrane action create) have the behavior you expect before using them with sensitive data.
Capability Analysis
Type: OpenClaw Skill
Name: rapidoc
Version: 1.0.3
The rapidoc skill bundle provides instructions for an AI agent to integrate with RapiDoc using the Membrane CLI. It guides the agent through installing the '@membranehq/cli' package, authenticating via Membrane, and managing API actions. The instructions are transparent, align with the stated purpose of API documentation management, and include security-positive advice such as delegating credential management to the Membrane platform rather than handling raw secrets locally (SKILL.md).
Capability Assessment
Purpose & Capability
The name/description (RapiDoc integration) align with the instructions: all runtime steps use the Membrane CLI to connect to a 'rapidoc' connector, discover and run actions. Required network access and a Membrane account are expected for this purpose.
Instruction Scope
SKILL.md limits runtime behavior to installing/using the Membrane CLI (login, connect, action list/create/run). It does not instruct the agent to read arbitrary local files, search unrelated environment variables, or send data to unexpected endpoints.
Install Mechanism
There is no formal install spec in the registry (instruction-only), but the doc tells users to run `npm install -g @membranehq/cli@latest` (and suggests npx in examples). Installing a global npm package is a normal way to get a CLI but carries moderate risk compared with no install; verify the package/source before global install or prefer `npx`/local install.
Credentials
The skill declares no required environment variables or credentials and explicitly advises letting Membrane handle credentials. Requested access is proportional to its stated function.
Persistence & Privilege
Skill is instruction-only, not always-enabled, and user-invocable. The only persistence risk is the optional global CLI install initiated by the user; the skill itself does not request persistent system-wide privileges.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install rapidoc - After installation, invoke the skill by name or use
/rapidoc - 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 Rapidoc?
RapiDoc integration. Manage data, records, and automate workflows. Use when the user wants to interact with RapiDoc data. It is an AI Agent Skill for Claude Code / OpenClaw, with 148 downloads so far.
How do I install Rapidoc?
Run "/install rapidoc" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Rapidoc free?
Yes, Rapidoc is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Rapidoc support?
Rapidoc is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Rapidoc?
It is built and maintained by Vlad Ursul (@gora050); the current version is v1.0.3.
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