langsmith-evaluator

langsmith-evaluator is an LLM evaluation & observability skill for AI agents, published by langchain-ai in the skills-benchmarks repository on GitHub. Skillspace rates langsmith-evaluator F (15/100) and the safety scan rated it unsafe; the rating is based on static analysis only.

INVOKE THIS SKILL when building evaluation pipelines for LangSmith. Covers three core components: (1) Creating Evaluators - LLM-as-Judge, custom code; (2) Defining Run Functions - how to capture outputs and trajectories from your agent; (3) Running Evaluations - locally with evaluate() or auto-run via LangSmith. Uses the langsmith CLI tool.

Grade
F
Quality
15 / 100
Safety
Unsafe
GitHub stars
109

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
96 / 100
Maturity
Basic: a single SKILL.md
Security scan
Critical-risk patterns
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • pipe remote script to shell
  • 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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