Execute skills and append structured execution metrics to a JSON log.
npx skills add https://github.com/ZTE-AICloud/Co-OmniSpec --skill skill-runner
Please help me install this Agent Skill. Skill: skill-runner Source: https://github.com/ZTE-AICloud/Co-OmniSpec/tree/main/skills/skill-runner Command: npx skills add https://github.com/ZTE-AICloud/Co-OmniSpec --skill skill-runner
This Skill Runner standardizes the execution of specified skills and records structured metrics into FEATURE_DIR/omni-execution-log.json, enabling traceability of command runs.
Invoke the runner with the target skill name and optional parameters to start automatic logging of the execution.
High-intent search queries and answers about installing and using this skill.
To log execution metrics for automated command workflows, use a runner that records start and end times, input arguments, and output. It appends structured entries to a centralized JSON log, ensuring traceability of command runs.
Yes, you can append execution logs to a JSON file without overwriting history. The runner appends each new entry to the omni-execution-log.json file, preserving all previous records for full traceability.
To capture OS-aware timestamps for skill execution logging, invoke the runner with the target skill name. The runner automatically records deterministic start and end times based on the operating system environment.
The best way to standardize cross-platform command execution and logging is to use a runner that identifies and executes a given skill while automatically capturing timing, input, and output metrics into a structured JSON log.
Yes, the execution logger supports custom input arguments. You invoke the runner with the target skill name and optional parameters, which are then captured alongside the executed skill name and output in the JSON log entry.
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