benchmark-design
FeaturedDesign and calibrate a multi-Case capability Benchmark and establish a traceable Formal Baseline.
Install
Quality Score: 93/100
Skill Content
Details
- Author
- Prism-Shadow
- Repository
- Prism-Shadow/penguin-harness
- Created
- 1 months ago
- Last Updated
- today
- Language
- TypeScript
- License
- Apache-2.0
Similar Skills
Semantically similar based on skill content — not just same category
agent-evaluation
Run one specified Test Agent on one specified Benchmark Case exactly once, privately score that execution, and return one protocol result.
benchmark-implement
Run an approved PRD through the existing receipt-backed implement workflow, analyze its runtime session with a fresh independent evaluator, emit a deterministic process report, and compare it with an earlier run. Use when the user invokes "$benchmark-implement", asks to benchmark the implement skill or harness, rerun a fixed PRD after harness changes, analyze implementation-session efficiency, or compare baseline and candidate harness behavior.
skill-benchmark
Use when the user runs /skill-benchmark to score agent skills via LLM judges with baseline comparison, regression detection, and trend analysis, or to compare candidate models on a shared task set in a ranked table with per-model spend tracking. Not for release gating — use skill-benchmark-gate.