Analyze build outputs and test results to verify code quality and security.
npx skills add https://github.com/scottconverse/productteam --skill evaluator-scottconverse
Please help me install this Agent Skill. Skill: evaluator Source: https://github.com/scottconverse/productteam/tree/main/skills/evaluator Command: npx skills add https://github.com/scottconverse/productteam --skill evaluator-scottconverse
This Skill helps ensure the correctness and quality of code produced within a product development pipeline by providing rigorous evaluation and verification.
Use the evaluator to review the latest build output and run the test suite to verify code quality and compliance.
High-intent search queries and answers about installing and using this skill.
Code quality and test coverage verification analyzes build outputs and test results to ensure compliance with acceptance criteria and specified standards. It checks builder-generated code for vulnerabilities, missing deliverables, and architectural flaws before integration.
Skeptical verification evaluates builder-generated code against acceptance criteria by running existing tests and analyzing outputs. It identifies security issues, missing deliverables, and architectural flaws to ensure product correctness and quality within development pipelines.
Yes, pre-installed testing frameworks and code analysis tools are required. The verification process runs existing tests in a pre-configured environment to validate functionality, detect code vulnerabilities, and confirm adherence to specified standards.
Security vulnerabilities and missing deliverables are detected by analyzing build outputs and test results. This verification confirms adherence to acceptance criteria and finds architectural flaws, ensuring all requirements are met with verifiable evidence before integration.
Yes, test suite validation runs existing tests within a pre-configured environment to verify functionality. The process analyzes builder-generated code, confirms compliance with acceptance criteria, and identifies security issues or architectural flaws.
Automated verification relies on pre-installed testing frameworks and code analysis tools. It requires a pre-configured environment to run existing tests, meaning it cannot validate functionality or detect vulnerabilities without these dependencies properly set up beforehand.
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