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Edit Splunk search queries from natural language using Ollama, Docker Model Runner, or Google Gemini Flash. Splunk natural language query editor is a Chrome extension that adds a natural-language textarea to Splunk search pages. It lets you describe a query in plain English, which gets converted to SPL (Splunk's query language), and vice versa — edit the SPL directly and the natural-language field updates automatically. It supports three AI backends: - Ollama — local LLM server - Docker Model Runner — local models via Docker - Google Gemini Flash — cloud-based via API key It only activates on splunk-operations.ocset.net pages whose URL or title contains "search", and works by reading/writing the Ace editor Splunk uses for its search bar.
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.