set-up-ab-testing
set-up-ab-testing is an LLM evaluation & observability skill for AI agents, published by ContextJet-ai in the awesome-llm-observability repository on GitHub. Skillspace rates set-up-ab-testing C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Use this to test an LLM change (new prompt, new model, new retrieval) on real traffic before rolling it out to everyone. Trigger on "A/B test my prompt", "roll out a new model safely", "compare two prompts in production", "canary this change", "does this actually improve things for real users". Measure impact on real users, gated, before a full switch.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 21
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, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
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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