Execute predefined scripts to evaluate software project quality with exit codes.
npx skills add https://github.com/ramboz/servo --skill servo-quality-gate
Please help me install this Agent Skill. Skill: servo:quality-gate Source: https://github.com/ramboz/servo/tree/main/hosts/claude/skills/quality-gate Command: npx skills add https://github.com/ramboz/servo --skill servo-quality-gate
This Skill assesses the quality of a project against predefined criteria, providing a standardized evaluation that can be used for continuous improvement and automated decision-making.
Run the quality gate for the project at '/path/to/repo' by executing: `python3 ${CLAUDE_PLUGIN_ROOT}/skills/quality-gate/gate.py /path/to/repo'
High-intent search queries and answers about installing and using this skill.
You can automate software quality evaluation by executing predetermined scripts against a target project, using structured output and closed-contract exit codes to generate pass/fail results based on defined thresholds.
To run a quality gate check in a CI pipeline, execute the gate script with the target repository path, leveraging closed-contract exit codes to automate pass or fail decisions for downstream pipeline stages.
Threshold-based quality reporting generates pass or fail results by comparing predetermined script outputs against defined criteria, providing standardized evaluation for automated decision-making in continuous improvement workflows.
Yes, you need Python installed to run automated project quality checks, as the evaluation scripts require the Python runtime to execute the predetermined assessment criteria against the target repository.
Yes, you can integrate threshold-based quality reporting with CI/CD pipelines by utilizing the structured output and closed-contract exit codes to trigger automated decision-making and alert developers when standards are not met.
Limitations of automated quality evaluation include reliance on predetermined scripts and threshold values, requiring Python and various project-specific tools, meaning it only evaluates against explicitly defined criteria rather than subjective code quality.
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