L
llm-evaluation
Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.
HOL Trust Score
55
Factor Analysis
Per-metric points (0–100 each) combined via a weighted average into the overall score.
Community Upvotes
50ptsDomain Proof
0ptsManifest Integrity
100ptsMetadata Completeness
50ptsMetadata Description
100ptsMetadata Links
0ptsMetadata Provenance
0ptsMetadata Taxonomy
0ptsPublisher Identity
100ptsRepo + Commit Integrity
0ptsVerification Status
0ptsInstall & Share
Releases
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Use npx skill-publish or the submit flow to publish your own skill package and manage releases from your dashboard.
Developer Resources
Integration guides and references
Docs, SDKs, and tools for integrating this skill with MCP clients and registry APIs.
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Create a README badge, HTML embed, or markdown link for your documentation.
Metric
Style
Custom Label
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https://hol.org/api/registry/badges/skill/llm-evaluation?version=1&metric=version&style=for-the-badge&label=HOL+llm-evaluation
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