Individual skill
rag-evaluation-harness
Evaluate retrieval and citation behavior for RAG pipelines from deterministic JSONL fixtures. Use when an agent needs offline Recall@K, reciprocal rank, context precision, citation coverage, citation validity, diagnostics, Markdown/JSON reports, or threshold-gated evaluation in CI.
plugins/all-skills/skills/rag-evaluation-harness/SKILL.md
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SKILL.mdcore · 3,251 bytesSKILL.mdcore · 3,251 bytesSKILL.mdcore · 3,251 bytesSKILL.mdcore · 3,251 bytesexamples/sample-evaluation.jsonlasset · 431 bytesscripts/evaluate-rag.mjsruns · 9,014 bytesscripts/evaluate-rag.test.mjsruns · 5,220 bytes
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# RAG Evaluation Harness
Use this skill to measure a retrieval-and-citation contract without making model calls or network requests. The bundled evaluator compares explicit document IDs, so it is suitable for repeatable local checks and CI gates.
## Input Contract
Provide one JSON object per line with a unique string `id` and three arrays of document IDs:
```json
{"id":"question-1","relevant_document_ids":["doc-a"],"retrieved_document_ids":["doc-b","doc-a"],"cited_document_ids":["doc-a"]}
```
Blank lines are ignored. Invalid JSON, missing arrays, non-string IDs, and duplicate case IDs fail with the JSONL line number. Keep the fixture's relevance labels and citation IDs explicit; do not infer them from answer text.