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Rapidapi
by
Vlad Ursul
· GitHub ↗
· v1.0.3
· MIT-0
164
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0
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0
Active Installs
4
Versions
Install in OpenClaw
/install rapidapi-integration
Description
RapidAPI integration. Manage data, records, and automate workflows. Use when the user wants to interact with RapidAPI data.
Usage Guidance
This skill is coherent: it uses the Membrane CLI to integrate with RapidAPI and does not ask for unrelated secrets. Before installing, verify the @membranehq npm package and the getmembrane.com domain, and prefer installing the CLI in a controlled environment (avoid installing global packages on multi-user/shared systems). Expect the CLI to open a browser or provide a login URL for headless flows; never paste API keys into the agent — follow the documented connection/auth flow instead.
Capability Analysis
Type: OpenClaw Skill
Name: rapidapi-integration
Version: 1.0.3
The skill provides instructions for integrating RapidAPI using the Membrane CLI. It follows standard procedures for CLI-based authentication and action management, and it explicitly promotes security best practices by advising the agent to use delegated authentication (connections) rather than requesting raw API keys from the user. No malicious patterns, data exfiltration, or harmful prompt injections were found in SKILL.md or _meta.json.
Capability Assessment
Purpose & Capability
The name/description say 'RapidAPI integration' and the SKILL.md exclusively documents using the Membrane CLI to connect to RapidAPI, discover actions, create actions, and run them. All required capabilities (network access, a Membrane account) are consistent with this purpose.
Instruction Scope
Runtime instructions are limited to installing and using the Membrane CLI, performing Membrane login/connect/action commands, and handling headless login flows. The doc does not instruct the agent to read unrelated files, exfiltrate data, or access unrelated environment variables. It explicitly advises against asking users for API keys.
Install Mechanism
There is no formal install spec in the registry (instruction-only skill), but the SKILL.md tells users to run 'npm install -g @membranehq/cli@latest'. Installing a public npm package is expected for a CLI-based integration but has the usual supply-chain considerations (npm package trust, global install effects). The package is from an explicit @membranehq scope rather than an arbitrary URL, which is less risky than downloading from an unknown host.
Credentials
The skill declares no required environment variables or credentials and delegates auth to Membrane. The SKILL.md explicitly instructs not to ask users for API keys and to rely on Membrane-managed connections, which is proportional to the stated functionality.
Persistence & Privilege
The skill is instruction-only and does not request persistent system presence. 'always' is false and there is no install script that writes long-term config in the skill bundle. Normal autonomous invocation by the agent is allowed (platform default).
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install rapidapi-integration - After installation, invoke the skill by name or use
/rapidapi-integration - 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 Rapidapi?
RapidAPI integration. Manage data, records, and automate workflows. Use when the user wants to interact with RapidAPI data. It is an AI Agent Skill for Claude Code / OpenClaw, with 164 downloads so far.
How do I install Rapidapi?
Run "/install rapidapi-integration" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Rapidapi free?
Yes, Rapidapi is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Rapidapi support?
Rapidapi is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Rapidapi?
It is built and maintained by Vlad Ursul (@gora050); the current version is v1.0.3.
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