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Which assumptions are most fragile? — Vulnerability ranking + impact assessment of experiment assumptions
Passed 16 of 19 test cases with the skill, and 10 of 19 without it.
and 5 more in the full report
7 fixed12 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
We are orchestrating subagents to analyze assumptions for an edge computing firmware update. What is the maximum allowed number of subagent calls according to the budget constraints?
| Checked | Without skill | With skill |
|---|---|---|
| Restricts total subagent calls to 5 or fewer. | Missed | Passed |
The instructions your model reads when the skill loads.
Systematic assumption vulnerability analysis:
Assumption categories:
| Category | Examples |
|---|---|
| Technical | Method convergence, architecture suitability |
| Data | Availability, quality, representativeness |
| Resource | Sufficiency of compute, time, expertise |
| Environmental | Tool stability, API access, policy |
| Theoretical | Effect existence, measurability, magnitude |
Challenge Assumptions → call assumption-challenging SOP
Quantify Validation Cost → call resource-quantification SOP
Rank Sensitivity → invoke sensitivity-ranking tactic
Report → synthesize vulnerability assessment
| Resource | Budget | Notes |
test cases passed, vs 10 / 19 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.