benchmark-qed-setup

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

Initialize and configure benchmark-qed workspaces for RAG benchmarking. Use when: setting up a new benchmarking project, initializing config files for question generation or evaluation, downloading sample datasets, or modifying benchmark-qed settings.yaml configuration. Also use when the user mentions "benchmark-qed config", workspace setup, or needs to prepare a benchmarking environment — even if they don't say "setup" explicitly.

Grade
F
Quality
45 / 100
Safety
Risky
GitHub stars
92

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
78 / 100
Maturity
Structured: ships references or scripts
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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