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Get Started Free →yogsoth-ai/deep-insight-validity-envelope-mapping
Map multi-dimensional validity envelopes — define variation axes, perturb systematically, measure degradation, construct boundary surface.
Passed 15 of 17 test cases with the skill, and 4 of 17 without it.
and 18 more in the full report
14 fixed5 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.
In our validity envelope mapping project for a biomedical signal classifier, what is the acceptable ±10% range around the target for paper-overview searches?
| Checked | Without skill | With skill |
|---|---|---|
| Specifies a 36 to 44 range for paper-overview. | Missed | Passed |
The instructions your model reads when the skill loads.
Map the conditions under which a method remains valid.
| Base SOP | Target | ±10% Range |
|---|---|---|
| web-search | 30 | 27–33 |
| web-research | 10 | 9–11 |
| paper-overview | 40 | 36–44 |
| paper-search | 30 | 27–33 |
| paper-research | 15 | 13–17 |
<HARD-GATE>
| SOP | Done | Target | % |
|-----|------|--------|---|
| web-search | ? | 30 | ? |
| web-research | ? | 10 | ? |
| paper-overview | ? | 40 | ? |
| paper-search | ? | 30 | ? |
| paper-research | ? | 15 | ? |
Budget Gate: OPEN/CLOSED (>=80% required to exit)
</HARD-GATE>
Import: web-search, web-research, paper-overview, paper-search, paper-research Subagent: variation-axis-definition, controlled-perturbation, validity-envelope-construction
test cases passed, vs 4 / 17 without
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