An AI-powered skill for managing JFrog artifacts, builds, and repositories through automated workflows and the Membrane CLI.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install jfrog
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install jfrog using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is JFrog Integration Skill?
JFrog is a robust DevOps platform that enables software development teams to build, store, secure, and distribute software packages. This integration for Openclaw Skills allows AI agents to interact seamlessly with the JFrog Platform REST APIs. By utilizing this skill, developers can automate the management of the software release pipeline, ensuring that artifacts and builds are handled efficiently without the overhead of manual API configuration.
The core value of this skill lies in its integration with the Membrane framework, which abstracts the complexities of authentication and credential refreshing. This allows you to implement complex logic for artifact properties, release bundles, and repository management while maintaining a secure, server-side auth lifecycle within your Openclaw Skills environment.
JFrog Integration Skill Use Cases
- Automating the update of artifact properties during a CI/CD pipeline.
- Querying build statuses and release bundle information via natural language.
- Managing repository configurations and user permissions programmatically.
- Synchronizing software packages across different environments or storage groups.
- Monitoring license compliance across various artifacts and builds.
How JFrog Integration Skill Works
- The user installs the Membrane CLI and authenticates their environment to provide a foundation for Openclaw Skills.
- A connection is established to the specific JFrog instance (e.g., https://jfrog.com/) using the connection ensure command.
- The AI agent searches for relevant actions using natural language intent to find the best match for the required task.
- Actions are executed through the CLI, passing JSON parameters to modify or retrieve JFrog data.
- If a pre-built action does not exist, the agent uses the proxy request feature to communicate directly with the JFrog REST API, with Openclaw Skills handling the authentication headers automatically.
JFrog Integration Skill Setup
First, install the necessary CLI tool to enable the skill within your environment:
npm install -g @membranehq/cli@latest
Next, log in to your tenant. This step is essential for Openclaw Skills to manage your sessions:
membrane login --tenant --clientName=openclaw
Finally, connect your JFrog instance to start automating your workflows:
membrane connection ensure "https://jfrog.com/" --json
JFrog Integration Skill Data Schema & Taxonomy
The skill manages various entities within the JFrog ecosystem. Below is a breakdown of the primary data objects handled by Openclaw Skills:
| Entity | Description |
|---|---|
| Artifact | The binary or package file and its associated properties. |
| Build | Records containing metadata about specific software build cycles. |
| Release Bundle | Collections of artifacts and metadata ready for distribution. |
| Repository | Logic storage units for artifacts, including local, remote, and virtual types. |
| User / Group | Identity management data for controlling access to DevOps assets. |
| License | Metadata regarding the legal compliance and usage terms of software packages. |
JFrog Integration Skill Advanced Features
- Natural Language Action Discovery: Find the exact command needed by describing your intent instead of browsing documentation.
- Automatic Credential Management: Openclaw Skills handle OAuth and API key refreshes server-side, removing secrets from local code.
- Intelligent Proxying: Send raw requests to any JFrog endpoint with automatic base URL and header injection.
- Multi-Agent Compatibility: Optimized for use with various AI environments including Claude, Codex, and Windsurf.
- Machine-Readable Output: All commands support a --json flag for seamless integration into larger automated systems.
SKILL.md
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