Does this skill help with error handling?

Absolutely. It contains patterns to detect ApiErrors, extract error messages, and handle non-fatal errors in stream-JSON outputs.

Do I need to install jq to use this skill?

The skill utilizes the Bash tool to run jq commands, so having jq installed in your environment is required for the extraction patterns to work.

What output formats does this skill support?

It supports both standard JSON (`--output-format json`) and newline-delimited stream-JSON (`--output-format stream-json`) formats produced by the Gemini CLI.

How do I calculate billable tokens with this skill?

The skill provides specific jq patterns to subtract cached tokens from the total token count found in the models' stats object to determine billable usage.

Can I monitor Gemini tool calls in real-time?

Yes, the skill includes logic for processing stream-JSON events like tool_use and tool_result as they happen during an execution session.

Gemini JSON Parser

Name: Gemini JSON Parser
Author: melodic-software

bymelodic-software

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分析与监控

Parses and extracts data from Gemini CLI programmatic output, including token usage, tool call statistics, and stream-JSON events.

关于

The Gemini JSON Parsing skill enables Claude to efficiently process structured output from the Gemini CLI, facilitating seamless integration into automation and CI/CD pipelines. It provides standardized jq extraction patterns for extracting main responses, analyzing billable token usage across various models, and monitoring real-time tool execution via stream-JSON events. By implementing robust error handling and status interpretation, it allows developers to build reliable workflows that depend on Gemini's headless output.

主要功能

1 GitHub stars
Standard JSON and Stream-JSON (JSONL) format support
Real-time tool call and performance monitoring
Advanced error handling and status interpretation
Comprehensive token and cost analysis extraction
Pre-configured jq patterns for rapid data processing

使用场景

Building real-time execution logs for Gemini CLI tool calls
Automating Gemini response extraction in devops pipelines
Monitoring and reporting AI resource costs and token usage

关于

主要功能

1 GitHub stars
Standard JSON and Stream-JSON (JSONL) format support
Real-time tool call and performance monitoring
Advanced error handling and status interpretation
Comprehensive token and cost analysis extraction
Pre-configured jq patterns for rapid data processing

使用场景

Building real-time execution logs for Gemini CLI tool calls
Automating Gemini response extraction in devops pipelines
Monitoring and reporting AI resource costs and token usage