Classification tree nwise
Skill jovd83/test-design-orchestrator/classification-tree-nwise
Use this skill when Codex needs to model interacting parameters and generate reduced pairwise or n-wise combinations instead of an impractical full Cartesian set.From its SKILL.md
npx -y skills add jovd83/test-design-orchestrator --skill classification-tree-nwiseAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
2.0 KB, 248 tokens by cl100k_base, as published. Nobody here has run it
Classification Tree and N-Wise Testing
Read First
./references/classification-tree-nwise.md./references/test-design-shared-conventions.md./assets/templates/minimum-criterion-table.j2./assets/templates/pairwise-table.j2./assets/templates/threewise-table.j2./assets/templates/nwise-table.j2
Workflow
- List classifications and allowed values.
- Capture constraints and impossible combinations before generating data.
- Default to pairwise coverage unless the user asks for a different interaction depth.
- Escalate to 3-wise or n-wise only when the risk justifies the extra volume.
- Preserve traceability from each generated combination back to the parameter values it covers.
Required Output
- classification inventory
- explicit constraint list
- selected interaction depth and rationale
- generated combination set
- note on remaining uncovered higher-order interactions
Guardrails
- Do not emit a full Cartesian product unless the user explicitly wants exhaustive coverage or the space is already small.
- Remove impossible combinations before counting coverage.
- If one parameter dominates the risk, say so instead of pretending all dimensions matter equally.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.