init
v0.1.1Shared rules, secrets handling, and workspace MCP for dlthub
By ScaleVector GmbHLicense: https://github.com/dlt-hub/dlthub-ai-workbench/blob/master/LICENSE59 GitHub starsUpdated 5 days ago
Directory evidence
- Runtimes
- Claude Code
- Parsed components
- 3 skill or MCP entries
- Source updated
- Sep 18, 2026
- Manifest status
- Canonical path parsed
The directory validates manifest shape and source location. It does not execute the plugin or provide a security endorsement. Review the indexing methodology →
Install init for Claude Code
claude plugin marketplace add IchenDEV/agent-plugin-mkt
claude plugin marketplace update agent-plugin-marketplace
claude plugin install init@agent-plugin-marketplacePaste and run these commands in a terminal with Claude Code. They add and refresh the PluginsMP catalog, then install this plugin.
The installer fetches third-party code from the source repository shown on this page. This directory validates manifest structure and source location, but does not perform a security audit; review the manifest, components, and source before installing.
Get the source manually
git clone https://github.com/dlt-hub/dlthub-ai-harnessClone the source repository, then follow its setup instructions to add the plugin to a compatible client. The plugin root is workbench/init/.
Plugin files
├── .claude-plugin/plugin.json├── skills/improve-skills/SKILL.md├── skills/setup-secrets/SKILL.md└── .mcp.json
Included Skills2
Improve existing skills based on the current session. Use at the end of a session (or when the user asks) to capture new debugging patterns, data issues, data validation tracks, querying techniques, doc references, or workflow improvements learned during the session. Keeps skills lean and personalized.
Safely manage dlthub secrets in *.secrets.toml. Use when the user directly asks to set up, configure, or inspect credentials (API keys, database passwords, tokens). Also use when writing Python code that needs to read secrets via dlt.secrets without exposing values. Do NOT use for pipeline creation, source discovery, or debugging pipeline execution — those skills call setup-secrets when they need credentials configured.
MCP servers1
- command
- uv
- args
- run dlthub ai mcp --stdio
Plugin manifests1
{
"name": "init",
"description": "Shared rules, secrets handling, and workspace MCP for dlthub",
"version": "0.1.1",
"author": {
"name": "ScaleVector GmbH"
},
"homepage": "https://dlthub.com/docs",
"repository": "https://github.com/dlt-hub/dlthub-ai-workbench",
"license": "https://github.com/dlt-hub/dlthub-ai-workbench/blob/master/LICENSE",
"keywords": [
"dlthub",
"init",
"rules",
"secrets",
"mcp"
]
}For maintainers
If you maintain this plugin, link to this source-backed listing from your README so users can review its manifest and indexed components.
[init on Agent Plugins Marketplace](https://pluginsmp.com/plugins/init)