evaluate-langchain4j

evaluate-langchain4j is an LLM evaluation & observability skill for AI agents, published by dokimos-dev in the dokimos repository on GitHub. Skillspace rates evaluate-langchain4j F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.

Sets up evaluation of LangChain4j applications and RAG pipelines using Dokimos. Use this skill when the user wants to evaluate, test, or benchmark a LangChain4j app, RAG pipeline, or AI service. Also use when the user mentions LangChain4j evaluation, RAG testing, retrieval evaluation, or faithfulness/relevance checks with LangChain4j.

Grade
F
Quality
45 / 100
Safety
Risky
GitHub stars
46

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since.

Our review

Architecture
100 / 100
Maturity
Basic: a single SKILL.md
Security scan
High-risk patterns
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • references sensitive credential env
  • mentions secrets in text

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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