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Score a candidate on a split with honest, variance-aware evaluation. Use whenever you need a number for a candidate (the algorithm calls it internally; you can also call it directly to inspect). Runs the target via the adapter for each task, scores each rollout, aggregates mean + standard error, and reports pass^k when trials > 1. Never touches the test split (that is finalize's sealed job).

Install

npx skills add skillberry-ai/cap-evolve --skill evaluate -a claude-code

Installs to .claude/skills/evaluate/ · Each command fetches the skill straight from GitHub with the open skills CLI.

Download .zip

Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.

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Why 76

Security85
Provenance62
Maintenance100
Licence100
Adoption32

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