Open Data Hub
Official@opendatahub-io
Organization for Open Data Hub community
Agent Skills by Open Data Hub
Showing 19 vetted skills indexed across 4 GitHub repositories.
opendatahub-iopipeline-rca
Analyze trace logs, source code, and build artifacts to diagnose CI/CD pipeline failures.
opendatahub-iopipeline-grouping
Group and deduplicate CI/CD pipeline failures using error files and Jira tickets.
opendatahub-ioeval-analyze
Analyze a target skill to generate eval.yaml configuration for /eval-run.
opendatahub-ioeval-review
Analyze evaluation results to identify alignment gaps between automated checks and human assessment.
opendatahub-ioeval-setup
Configure and validate the agent-eval-harness environment with MLflow tracking and API key checks.
opendatahub-ioeval-run
Execute skills against test cases, score outputs with judges, and generate run summaries.
opendatahub-ioeval-mlflow
Logs MLflow evaluation runs and syncs datasets bidirectionally with feedback.
opendatahub-ioeval-optimize
Analyze eval results and edit SKILL.md to fix judge failures.
opendatahub-ioeval-dataset
Generates evaluation test cases from eval.md and eval.yaml for /eval-run workflows.
opendatahub-iolint-check
Create structured lint checks for the kubectl odh lint command.
opendatahub-iovLLM Slack Summary
Export vLLM CI Slack messages and convert them into markdown transcripts.
opendatahub-iolicense-finder
Identify Python package licenses from PyPI metadata and repository LICENSE files.
opendatahub-ioupload-chat-log
Upload chat logs as Markdown files to JIRA tickets.
opendatahub-iopipeline-debugger
Fetch GitLab CI/CD pipeline and job statuses via the GitLab API.
opendatahub-iocomplexity
Analyze PyPI metadata to assess Python package build complexity and wheel strategies.
opendatahub-ioenv-finder
Analyze build configuration files to extract environment variables affecting Python wheel builds.
opendatahub-iosource-finder
Locate Python package source repositories by analyzing PyPI metadata and project URLs.
opendatahub-iolicense-checker
Assess Python package license compatibility using SPDX data.
opendatahub-ioshallow-clone
Creates a depth-1 clone of a Git repository in a temporary location.
Frequently Asked Questions About Open Data Hub
FAQPage SchemaWhat specific tasks can I perform using Open Data Hub's diagnostic capabilities?▼
You can perform deep-dive root cause analysis on CI/CD pipeline failures, audit PyPI package metadata for build complexity, and validate license compliance using SPDX data. Additionally, the suite enables the generation of structured lint checks for Kubernetes-based environments and the systematic tracking of evaluation metrics via MLflow.
Which technical personas benefit most from these evaluation and diagnostic utilities?▼
These utilities are designed for DevOps engineers, release managers, and machine learning practitioners. They specifically assist those responsible for maintaining stable build environments, ensuring open-source license adherence in software supply chains, and managing the rigorous testing and validation of model performance within enterprise development cycles.
What are the primary prerequisites for running the evaluation and linting components?▼
Execution requires a configured environment capable of interfacing with GitLab for pipeline data, JIRA for issue tracking, and MLflow for experiment logging. Users must ensure valid credentials for these services are present, alongside the necessary configuration files like eval.yaml and eval.md to define test parameters and validation logic.