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Get Started Free →yogsoth-ai/category-sorting
Classify candidates into predefined categories using ELECTRE-Tri, FlowSort, AHPSort, or DRSA methods.
Passed 18 of 22 test cases with the skill, and 10 of 22 without it.
and 10 more in the full report
10 fixed8 passed either way2 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
We are rendering the Classification Table for 5 cybersecurity tools evaluated into Tier A, Tier B, Tier C. What exact set of 4 column headers must be present in the markdown classification table?
| Checked | Without skill | With skill |
|---|---|---|
| Includes the exact four column headers: Alternative, Category, Confidence, and Boundary Distance. | Missed | Passed |
The instructions your model reads when the skill loads.
Purpose: Classify candidate alternatives into predefined categories (e.g., A/B/C grades, compliant/non-compliant), supporting ELECTRE-Tri, FlowSort, AHPSort, DRSA, and other classification methods.
When to use:
| Base SOP | Target | ±10% Range |
|---|---|---|
| criterion-definition | 5-8 criteria | 4-9 |
| weight-elicitation-sop | 1 weight vector | 1 |
| threshold-setting | 1 threshold set | 1 |
| alternative-scoring | 1 score matrix | 1 |
| scoring-synthesis | 1 classification | 1 |
strategy: category-sorting
status: pending
categories_defined: false
criteria_defined: false
weights_computed: false
thresholds_set: false
scores_computed: false
classified: false
result: null
test cases passed, vs 10 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.