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Systematically vary parameters along defined axes, recording performance at each point to identify degradation thresholds.
Passed 14 of 19 test cases with the skill, and 3 of 19 without it.
and 11 more in the full report
12 fixed4 passed either way6 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.
We are sweeping the perturbation magnitude epsilon from 0.001 to 0.1 for an adversarial robustness curve on an image model. Which tool initiates the run?
| Checked | Without skill | With skill |
|---|---|---|
| Initiates execution via spawn-agent. | Missed | Passed |
The instructions your model reads when the skill loads.
Systematically perturb to find degradation thresholds.
Subagent — spawned via subagent-spawning/spawn-agent.
One unit = one perturbation curve along one axis.
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| spawn-agent | Spawn a customized CC subagent with full MCP tool access. Used by SOPs that declare execution: subagent. |
test cases passed, vs 3 / 19 without
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