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Compute consensus score from collected judgments using the appropriate statistical method.
Passed 15 of 21 test cases with the skill, and 7 of 21 without it.
and 10 more in the full report
10 fixed6 passed either way5 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
Network performance benchmarks collected continuous latency values (45ms, 48ms, 46ms, 52ms, 47ms). Calculate consensus and output JSON with consensus metric, technique name, threshold status, and textual summary.
| Checked | Without skill | With skill |
|---|---|---|
| Employs IQR for continuous performance latency values. | Missed | Passed |
| Formats output with exact field key threshold_met. | Missed | Passed |
The instructions your model reads when the skill loads.
Compute a quantitative consensus score from the collected judgments. Automatically selects the appropriate measurement method based on data type (IQR for continuous, percentage agreement for categorical, Kendall's W for rankings).
Spawn a subagent that analyzes the judgments array, determines the appropriate consensus metric, computes the score, and reports whether the consensus threshold is met.
Output MUST contain: consensus_score (numeric), method_used (string), threshold_met (boolean), and interpretation (string). Score must be computed, not estimated.
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 7 / 21 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.