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zeroasterisk/agent-evals

v1.0.0Apache-2.0

Designing, running and reporting agent evaluations and leaderboards: held-constant ablations across model, harness and task adaptation, with integrity checks.

eval-ablation-framing

Frames agent evaluations, benchmarks and leaderboards as held-constant ablations across three factors: Model, Harness, and Task Adaptation (none, pre-baked skill, or self-customization where the agent builds its own tools first). Use when deciding which eval cells to run next, designing a benchmark matrix, writing an eval report, or laying out a leaderboard UI so each product category gets a clear story without overwhelming viewers. Don't use for writing a single grader or task (build those first), or for generic statistics questions unrelated to agent evals.

Version
1.0.0
License
Apache-2.0
Read SKILL.md at the source

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