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Tavily
by
Vlad Ursul
· GitHub ↗
· v1.0.1
· MIT-0
101
Downloads
0
Stars
0
Active Installs
2
Versions
Install in OpenClaw
/install tavily-integration
Description
Tavily integration. Manage data, records, and automate workflows. Use when the user wants to interact with Tavily data.
Usage Guidance
This skill is coherent: it delegates auth and API calls to the Membrane CLI and does not ask for unrelated secrets. Before installing/running: (1) Verify the CLI package (@membranehq/cli) and its GitHub repository to ensure you trust the publisher; prefer running via npx for one-off usage if you want to avoid a global install. (2) Be aware that Membrane will broker your credentials and see the connections you create—review Membrane's privacy/security documentation. (3) In headless environments you’ll need to complete the login flow manually (open an authorization URL). If you’re uncomfortable installing third-party CLIs or delegating credentials to a brokered service, do not install and instead interact with Tavily via documented direct APIs.
Capability Analysis
Type: OpenClaw Skill
Name: tavily-integration
Version: 1.0.1
The skill instructs the AI agent to perform high-privilege operations, including installing a global npm package (@membranehq/cli) and authenticating with an external platform (Membrane). While these actions are aligned with the stated purpose of integrating Tavily, the requirement for global software installation and the redirection of all API interactions through a third-party service introduces significant supply chain risks and environment-level changes. The instructions in SKILL.md effectively move the agent's execution logic and credential management to an external, unvetted platform.
Capability Assessment
Purpose & Capability
The skill claims to integrate with Tavily and all runtime instructions use the Membrane CLI to create connections and run actions against a Tavily connector. Required resources (network, Membrane account) match the described purpose.
Instruction Scope
Instructions only cover installing/using the Membrane CLI, authenticating, creating connections, discovering actions, and running them. There are no instructions to read unrelated system files, export secrets, or call external endpoints outside Membrane/Tavily.
Install Mechanism
The skill is instruction-only (no install spec), but it recommends installing @membranehq/cli globally via npm (and alternately uses npx). Installing a global npm package is expected for a CLI integration, but users should verify the package identity and source before installing.
Credentials
No environment variables, credentials, or config paths are requested by the skill. Authentication is delegated to Membrane via an interactive login flow, which is proportionate to the stated task.
Persistence & Privilege
The skill does not request always:true or other persistent elevated privileges, nor does it instruct modifying other skills or global agent settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install tavily-integration - After installation, invoke the skill by name or use
/tavily-integration - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
Auto sync from membranedev/application-skills
v1.0.0
Auto sync from membranedev/application-skills
Metadata
Frequently Asked Questions
What is Tavily?
Tavily integration. Manage data, records, and automate workflows. Use when the user wants to interact with Tavily data. It is an AI Agent Skill for Claude Code / OpenClaw, with 101 downloads so far.
How do I install Tavily?
Run "/install tavily-integration" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Tavily free?
Yes, Tavily is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Tavily support?
Tavily is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Tavily?
It is built and maintained by Vlad Ursul (@gora050); the current version is v1.0.1.
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