conduct-empirical-study
conduct-empirical-study is an Experimentation & statistics skill for AI agents, published by IBM in the ado repository on GitHub. Skillspace rates conduct-empirical-study D (65/100) and it passed the safety scan; the rating is based on static analysis only.
End-to-end workflow for conducting empirical studies with ado — systematic exploration and analysis of entity spaces. Covers problem formulation, optional implementation of custom experiments/operators, execution (local or remote), and analysing results. Use when the user wants to run experiments, answer research questions empirically, benchmark systems, or perform any study involving systematic data collection across a parameter space.
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 54
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
- 94 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- 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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