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Strategy for identifying fundamental dimensions of variation in a design space.
Passed 20 of 23 test cases with the skill, and 8 of 23 without it.
and 14 more in the full report
15 fixed5 passed either way0 still failing3 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 15 test cases the skill fixed. Same model, same prompt, with and without the skill.
We are building a taxonomy for large language model guardrail architectures. Please systematically identify the key dimensions of variation across current paradigms, showing how different technical choices compare along these underlying axes.
| Checked | Without skill | With skill |
|---|---|---|
| The output displays a state ledger table. | Missed | Passed |
| The state ledger tracks sources analyzed. | Missed | Passed |
The instructions your model reads when the skill loads.
Identify the fundamental axes of variation that define the design space. Each dimension should be independent and meaningful.
Look for the axes that practitioners implicitly use when comparing approaches. "Fast vs accurate", "local vs global", "supervised vs unsupervised" — these are dimensions. Find the ones specific to your domain.
| Metric | S | M | L |
|---|---|---|---|
| Candidate dimensions | 5 | 10 | 15 |
| Validated dimensions | 3 | 6 | 10 |
| Sources analyzed | 8 | 20 | 40 |
| Metric | Target | Current | Status |
|---------------------|--------|---------|--------|
| Candidate dimensions| X | 0 | ⬜ |
| Validated dimensions| X | 0 | ⬜ |
| Sources analyzed | X | 0 | ⬜ |
Optional, no fixed order; the final leaf is always a sop.
test cases passed, vs 8 / 23 without
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