Automate end-to-end validation of the STS2 training system.
npx skills add https://github.com/dbyrne/ClawTheSpire --skill validate-dbyrne
Please help me install this Agent Skill. Skill: validate Source: https://github.com/dbyrne/ClawTheSpire/tree/main/.agents/skills/validate Command: npx skills add https://github.com/dbyrne/ClawTheSpire --skill validate-dbyrne
The STS2 Validation Suite ensures that enemy profiles, the Rust-based combat engine, and the BetaOne evaluator are current and correct, catching regressions before deployment.
Run the validation suite to rebuild profiles, execute engine tests, and evaluate BetaOne across curated scenarios.
High-intent search queries and answers about installing and using this skill.
To automate STS2 validation, run the suite to rebuild profiles, execute Rust engine tests, and evaluate the BetaOne harness. It produces structured results that verify enemy profiles, combat accuracy, and decision quality before deployment.
Rebuilding STS2 enemy profiles from logs uses Python tooling to regenerate enemy data, event profiles, pool data, and map or shop pools. This ensures the training system operates with current and correct baseline data.
Yes, the STS2 validation suite requires Python tooling to rebuild profiles and a Rust environment to run engine tests. Both are needed to execute the end-to-end CI-like workflows and local development checks.
Yes, the STS2 validation suite supports both CI-like workflows and local development. After making Rust combat engine changes, you can run the suite to verify decision quality, check combat accuracy, and catch regressions.
Regressions after an STS2 profile rebuild typically indicate mismatches between updated enemy data and the combat engine. The validation suite analyzes these results, compares changes, and reports actionable issues to guide development.
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