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Compare results across multiple model variants — quantitative agreement metrics and qualitative conclusion stability.
Passed 12 of 21 test cases with the skill, and 8 of 21 without it.
and 4 more in the full report
7 fixed6 passed either way7 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
If an automated evaluation pipeline executes 5 separate passes comparing LLM output consistency, how many budget units were consumed?
| Checked | Without skill | With skill |
|---|---|---|
| Calculates the resource usage as exactly 5 budget units | Missed | Passed |
The instructions your model reads when the skill loads.
Assess whether conclusions converge across model variants.
Subagent — spawned via subagent-spawning/spawn-agent.
One unit = one convergence assessment pass.
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 8 / 21 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.