Install any skill in seconds. Free to start, no credit card required.
Get Started Free →yogsoth-ai/deep-insight-sensitivity-analysis
Sensitivity Analysis Campaign — identify which assumptions are most critical by measuring their impact on conclusions. 5 strategies (parameter-screening, variance-decomposition, assumption-criticality, uncertainty-propagation, decision-sensitivity), 3 tactics, 11 subagent SOPs.
Passed 18 of 22 test cases with the skill, and 17 of 22 without it.
3 fixed15 passed either way2 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
We are initiating Phase 2 of our aerospace thermal protection investigation. No context file exists yet for this new phase. What initialization action is required before running any subagents?
| Checked | Without skill | With skill |
|---|---|---|
| Invokes context-init to create the fresh context file for the new phase | Missed | Passed |
The instructions your model reads when the skill loads.
Identify which assumptions are most critical — rank by impact on conclusions.
This campaign is a strategy book — CC reads, internalizes, and autonomously constructs an approach.
| Signal | Strategy |
|---|---|
| quick screening, Morris method, OAT, preliminary elimination | → parameter-screening |
| variance decomposition, Sobol indices, contribution, interaction effects | → variance-decomposition |
| assumption criticality, perturbation, negation, re-derivation | → assumption-criticality |
| uncertainty propagation, Monte Carlo, distributions, Bayesian | → uncertainty-propagation |
| decision sensitivity, EVPI, influence diagrams, tornado diagrams | → decision-sensitivity |
Import (5): web-search, web-research, paper-overview, paper-search, paper-research
Subagent (11): morris-screening, sobol-decomposition, interaction-detection, assumption-extraction, negation-definition, re-derivation, conclusion-sensitivity-measurement, distribution-assignment, monte-carlo-sampling, critical-path-identification, sensitivity-synthesis
Shared (1): assumption-surfacing
context-checkpoint after each strategy completes.
test cases passed, vs 17 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.