knowledge-catalog
Health Gecti
- License — License: Apache-2.0
- Description — Repository has a description
- Active repo — Last push 0 days ago
- Community trust — 10 GitHub stars
Code Gecti
- Code scan — Scanned 12 files during light audit, no dangerous patterns found
Permissions Gecti
- Permissions — No dangerous permissions requested
This tool provides agent skills that allow AI assistants like Gemini CLI and Claude Code to interact with Google Cloud's Knowledge Catalog (Dataplex). It enables users to discover, manage, and query data platform artifacts using natural language commands.
Security Assessment
Overall Risk: Medium. The tool itself requires no dangerous local permissions and contains no hardcoded secrets. However, its core function involves making network requests to the Google Cloud API to read your data. Because it relies on Google Application Default Credentials, the AI agent will have access to your GCP environment and underlying data assets based on your IAM permissions. While the code is safe locally, you are granting the connected AI agent access to potentially sensitive cloud data.
Quality Assessment
Overall Quality: Good. The project is highly active, with its most recent code push occurring just today. It uses the reputable and permissive Apache-2.0 license. With 10 GitHub stars, the community trust is modest, but this is expected for a recently released beta tool. A light code audit of 12 files found no dangerous patterns or malicious code. Keep in mind that the tool is currently in beta, meaning you may encounter breaking changes before its stable v1.0 release.
Verdict
Safe to use, provided you have correctly configured strict IAM permissions to limit the AI agent's access to sensitive cloud data.
Skills for Knowledge Catalog
Agent Skills: Knowledge Catalog (formerly known as Dataplex)
[!NOTE]
Currently in beta (pre-v1.0), and may see breaking changes until the first stable release (v1.0).
This repository provides a set of agent skills to interact with Knowledge Catalog (formerly known as Dataplex) instances. These skills can be used with various AI agents, including Gemini CLI, Claude Code, and Codex, to discover, manage, monitor, and govern data and AI artifacts across your data platform using natural language prompts.
[!IMPORTANT]
We Want Your Feedback!
Please share your thoughts with us by filling out our feedback form.
Your input is invaluable and helps us improve the project for everyone.
Table of Contents
- Why Use Knowledge Catalog Agent Skills?
- Prerequisites
- Getting Started
- Usage Examples
- Supported Skills
- Additional Agent Skills
- Troubleshooting
Why Use Knowledge Catalog Agent Skills?
- Natural Language Management: Stop wrestling with complex commands. Explore schemas and query data by describing what you want in plain English.
- Seamless Workflow: Integrates seamlessly into your AI agent's environment. No need to constantly switch contexts for common database tasks.
- Code Generation: Accelerate development by asking your agent to generate data classes and other code snippets based on your table schemas.
Prerequisites
Before you begin, ensure you have the following:
- One of these AI agents installed
- Gemini CLI version v0.6.0 or higher
- Claude Code version v2.1.94 or higher
- Codex v0.117.0 or higher
- Antigravity v1.14.2 or higher
- A Google Cloud project with the Dataplex API enabled.
- Ensure Application Default Credentials are available in your environment.
- IAM Permissions:
- Dataplex Data Reader (
roles/dataplex.dataReader): For reading data from the underlying assets (e.g., to run analytics queries). - Service Usage Consumer (
roles/serviceusage.serviceUsageConsumer)
- Dataplex Data Reader (
Getting Started
Configuration
Please keep these env vars handy during the installation process:
DATAPLEX_PROJECT: The GCP project ID.
Installation & Usage
To start interacting with your database, install the skills for your preferred AI agent, then launch the agent and use natural language to ask questions or perform tasks.
For the latest version, check the releases page.
Gemini CLI1. Install the extension:
gemini extensions install https://github.com/gemini-cli-extensions/knowledge-catalog
During the installation, enter your environment vars as described in the configuration section.
2. (Optional) Manage Configuration:
To view or update your configuration in Gemini CLI:
- Terminal:
gemini extensions config knowledge-catalog [setting name] [--scope <scope>] - Gemini CLI:
/extensions list
3. Start the agent:
gemini
(Tip: Run /extensions list to verify your configuration and active extensions.)
1. Set env vars:
In your terminal, set your environment vars as described in the configuration section.
2. Start the agent:
claude
3. Add the marketplace:
/plugin marketplace add https://github.com/gemini-cli-extensions/knowledge-catalog.git#0.5.0
4. Install the plugin:
/plugin install knowledge-catalog@knowledge-catalog-marketplace
(Tip: Run /plugin list inside Claude Code to verify the plugin is active, or /reload-plugins if you just installed it.)
1. Clone the Repo:
git clone --branch 0.5.0 [email protected]:gemini-cli-extensions/knowledge-catalog.git
2. Install the plugin:
mkdir -p ~/.codex/plugins
cp -R /absolute/path/to/knowledge-catalog ~/.codex/plugins/knowledge-catalog
3. Set env vars:
Enter your environment vars as described in the configuration section.
4. Create or update marketplace.json:~/.agents/plugins/marketplace.json
{
"name": "my-data-cloud-google-marketplace",
"interface": {
"displayName": "Google Data Cloud Skills"
},
"plugins": [
{
"name": "knowledge-catalog",
"source": {
"source": "local",
"path": "./plugins/knowledge-catalog"
},
"policy": {
"installation": "AVAILABLE",
"authentication": "ON_INSTALL"
},
"category": "Data Governance"
}
]
}
(Tip: Run codex plugin list or use the /plugins interactive menu to verify your installed plugins.)
1. Clone the Repo:
git clone --branch 0.5.0 https://github.com/gemini-cli-extensions/knowledge-catalog.git
2. Install the skills:
Choose a location for the skills:
- Global (all workspaces):
~/.gemini/antigravity/skills/ - Workspace-specific:
<workspace-root>/.agents/skills/
Copy the skill folders from the cloned repository's skills/ directory to your chosen location:
cp -R knowledge-catalog/skills/* ~/.gemini/antigravity/skills/
3. Set env vars:
Set your environment vars as described in the configuration section.
(Tip: Antigravity automatically discovers skills in these directories at the start of a session.)
Usage Examples
Interact with Knowledge Catalog using natural language:
Explore Catalog and Metadata:
- "Find all catalog entries related to 'customer orders'."
- "Which columns look similar across marketing and sales datasets?"
- "Show me the description and owner for the 'customer_pii' entry."
Perform Ad-hoc Analysis:
- "Calculate the total 'customer orders' this month."
Supported Skills
The following skills are available in this repository:
- Knowledge Catalog Discovery - Use these skills when you need to discover and explore data assets in the Knowledge Catalog. It allows you to search for entries, lookup specific metadata, and explore aspect types to understand your data platform's assets.
Additional Agent Skills
Find additional skills to support your entire software development lifecycle at github.com/gemini-cli-extensions.
Troubleshooting
Use the debug mode of your agent (e.g., gemini --debug) to enable debugging.
Common issues:
- "failed to find default credentials: google: could not find default credentials.": Ensure Application Default Credentials are available in your environment. See Set up Application Default Credentials for more information.
- "✖ Error during discovery for server: MCP error -32000: Connection closed": The database connection has not been established. Ensure your configuration is set via environment variables.
- "✖ MCP ERROR: Error: spawn .../toolbox ENOENT": The Toolbox binary did not download correctly. Ensure you are using the latest version of your agent.
- "cannot execute binary file": The Toolbox binary did not download correctly. Ensure the correct binary for your OS/Architecture has been downloaded. See Installing the server for more information.
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