datasets

datasets is a Fine-tuning & training data skill for AI agents, published by langwatch in the langwatch repository on GitHub. Skillspace rates datasets F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.

Generate realistic synthetic evaluation datasets by analyzing the user's codebase, prompts, production traces, and reference materials. Interactive, consultant-style — asks clarifying questions, proposes a plan, generates a preview for approval, then delivers a complete dataset uploaded to LangWatch. Use when user asks to generate, create, or build a dataset for evaluation, testing, or benchmarking.

Grade
F
Quality
45 / 100
Safety
Risky
GitHub stars
3,368

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

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

Our review

Architecture
93 / 100
Maturity
Basic: a single SKILL.md
Security scan
High-risk patterns
License
Apache-2.0
Adoption
Adopted by 1 other repositories, in 0 collections

What the scanner flagged

  • prompt-injection: ignore-previous
  • mentions secrets in text

Not checked yet

  • Category is a classifier prediction; no model has read this skill 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

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.