Execute installed foxctl skills with JSON input and return structured JSON output.
npx skills add https://github.com/joshka0/foxctl --skill foxctl-run
Please help me install this Agent Skill. Skill: foxctl Run Source: https://github.com/joshka0/foxctl/tree/main/configs/skills-condensed/foxctl-run Command: npx skills add https://github.com/joshka0/foxctl --skill foxctl-run
This Skill helps you execute installed foxctl skills and pass structured JSON inputs reliably, so you can automate file operations, code analysis, text search, and repeatable workflows without manual orchestration.
data between skills for multi-step workflows.--ephemeral execution when job storage is not writable and supports both job-tracked runs and direct parameter-style invocation.Run foxctl run text/grep --input '{"query":"TODO","path":"./"}' to search for matching TODOs across your local project and get the results as JSON.
High-intent search queries and answers about installing and using this skill.
To run local automation with JSON input, execute installed skills using a JSON envelope payload and receive structured JSON output for downstream workflow chaining. You pass parameters via flags like --input or --input-file to process file operations and code analysis.
Yes, you can chain code search and text grep workflows by piping raw JSON and passing the envelope data between executed skills. This enables multi-step structured workflows across repositories without requiring manual orchestration between each step.
The best way to automate code analysis is executing structured skills with JSON I/O to search and process local files. This approach returns version, status, and command details alongside data artifacts, ensuring repeatable automation across your repositories.
Yes, it supports job-tracked execution and offers an --ephemeral execution mode specifically for when job storage is not writable. This allows direct parameter-style invocation to run skills locally without relying on persistent job storage.
To handle large results from text grep operations, the skill emits output containing version, status, and command details alongside separate data artifacts. This structured JSON response ensures large data payloads are managed effectively for downstream automation.
Yes, you must select and have installed a specific skill by name before running local file operations. The tool executes installed skills, applying to tasks like code analysis and text grep, using JSON input to return structured output.
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