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Multi-dimensional evaluation and tiered filtering of generated ideas. Orchestrates novelty assessment → feasibility check → ranking → selection.
Passed 16 of 22 test cases with the skill, and 10 of 22 without it.
and 9 more in the full report
9 fixed7 passed either way3 still failing3 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
When categorizing ideas in Stage 1 novelty assessment, what specific four tier names should be assigned?
| Checked | Without skill | With skill |
|---|---|---|
| Uses exact tier names BREAKTHROUGH, HIGH, MODERATE, INCREMENTAL. | Missed | Passed |
The instructions your model reads when the skill loads.
Multi-dimensional evaluation and tiered filtering of generated ideas.
Score all ideas on novelty dimensions using novelty-scoring SOP. Assign tier: BREAKTHROUGH / HIGH / MODERATE / INCREMENTAL.
For HIGH and BREAKTHROUGH tier ideas, assess initial feasibility:
This is a signal, not a deep validation — that's the convergence repo's job.
Rank ideas by composite score: novelty (0.6) × feasibility signal (0.2) × completeness (0.2).
Select top ideas for output. All BREAKTHROUGH ideas pass regardless of feasibility. HIGH ideas pass if feasibility ≥ MEDIUM. MODERATE ideas pass only if they fill a coverage gap.
| Metric | Floor |
|---|---|
| Ideas evaluated | all generated ideas |
| Ideas scored on all dimensions | 100% |
| Tier distribution reported | yes |
| Top ideas selected | ≥5 (or all BREAKTHROUGH + HIGH) |
| SOP | Role |
|---|
test cases passed, vs 10 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.