Invoke the opencode CLI headlessly for automated code analysis and reviews.
npx skills add https://github.com/osoleve/the-fold --skill opencode-zen
Please help me install this Agent Skill. Skill: opencode-zen Source: https://github.com/osoleve/the-fold/tree/main/.claude/skills/opencode-zen Command: npx skills add https://github.com/osoleve/the-fold --skill opencode-zen
This Skill enables headless invocation of the opencode CLI to perform automated code analysis, reviews, and provide alternative AI perspectives without launching a UI.
Use opencode-zen to run a headless analysis on a file, for example: opencode run -m groq/qwen-qwq-32b "Review this module" -f src/main.rs
High-intent search queries and answers about installing and using this skill.
Headless AI code analysis runs directly from the command line by invoking the opencode CLI without a UI. You execute it in the background to analyze codebases and generate insights without user interaction.
Batch code reviews support analyzing multiple files or projects in a single workflow. This enables consistency checks across large codebases and allows repeated feedback generation without launching a graphical interface.
Automated code review allows model selection using the -m flag in the opencode CLI. You can compare results across different providers and models to obtain diverse feedback and avoid single-model biases.
Yes, opencode works with Rust source files by passing the file path with the -f flag. It provides architecture feedback and security reviews across large codebases regardless of the programming language.
Cross-model evaluation compares AI perspectives by running headless analysis with different model providers. This approach avoids single-model biases and delivers diverse feedback for quick quality checks and maintainability reviews.
Output format control uses the --format flag during headless code analysis invocation. This ensures results are structured consistently when integrating automated reviews into command-line workflows.
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