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Ionate-TechnologiesIonate-Technologies/indium-agentkit/skills/llm-eval-harness/SKILL.md

llm-eval-harness

Skill17 starsChanged 3 months agoNo licenceView on GitHub

Design and run evaluations for prompts, models, RAG pipelines, and agents: success criteria tied to the product, datasets from real and adversarial cases, code, model, and human graders, calibrated judges, repeated trials with confidence intervals, baseline gating, and cost and latency. Use when a prompt, model, retrieval step, or tool changes, or when asked whether an LLM feature is good enough to ship. Not for building the feature (use the build-llm-feature skill).

3 other projects use a version of this.

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We split this skill into the rules it gives an agent

13 rules. About 0 are common, 12 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈12

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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