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Detect uncovered regions in the solution space, producing a prioritized gap list.
Passed 15 of 20 test cases with the skill, and 6 of 20 without it.
and 8 more in the full report
11 fixed6 passed either way4 still failing1 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 want to evaluate our REST API test suite for an e-commerce checkout service. We need to compare existing test cases against all theoretical HTTP status code and payload validation combinations, prioritize the gaps, and execute the task. What tool access capability does the spawned subagent receive?
| Checked | Without skill | With skill |
|---|---|---|
| States that the spawned subagent receives full MCP tool access. | Missed | Passed |
The instructions your model reads when the skill loads.
Detect uncovered regions in the solution space and prioritize them for targeted generation.
Subagent — spawned via subagent-spawning/spawn-agent skill.
Gap detection requires comparing actual coverage against theoretical completeness. Benefits from focused context to systematically scan all dimensions without missing regions.
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 6 / 20 without
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