Verify Nova code implementations through adversarial static and execution-based evaluation.
npx skills add https://github.com/TeamSPWK/nova --skill evaluator-teamspwk
Please help me install this Agent Skill. Skill: evaluator Source: https://github.com/TeamSPWK/nova/tree/main/.claude/skills/evaluator Command: npx skills add https://github.com/TeamSPWK/nova --skill evaluator-teamspwk
This skill helps verify code implementations from an adversarial perspective to ensure outcomes reflect actual runtime behavior rather than the agent's self-reports.
Invoke the evaluator on your latest changes to obtain a verdict and concrete remediation steps.
High-intent search queries and answers about installing and using this skill.
Adversarial code validation is performed by an independent subagent that checks implementations against actual runtime behavior rather than self-reports, applying layered verification across static analysis, semantic alignment, and execution-based validation.
Gate-keeping evaluation is needed during on-demand flows like sprint completions and pre-commit gates to enforce independence and traceability, ensuring code changes meet rigorous design-implementation integrity standards before proceeding.
Enforcing generator-evaluator separation requires a dedicated evaluator workflow that strictly prohibits code modification, providing governance hooks and actionable remediation guidance while maintaining independence from the generation process.
Yes, an independent subagent can perform static analysis, semantic alignment, and execution-based validation simultaneously, applying adversarial perspectives to verify that outcomes reflect actual runtime behavior across various project phases.
Traceability works through observability hooks and metrics integration that log events and update state, enabling traceable judgments and post-hoc audits to verify the evaluator workflow's integrity and track remediation actions.
Adversarial evaluation focuses on runtime behavior because agent self-reports may not reflect true execution outcomes, so verifying through independent static, semantic, and execution-based validation ensures rock-solid quality assurance.
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