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Build evidence network graph for network meta-analysis — nodes, edges, geometry assessment
Passed 21 of 22 test cases with the skill, and 20 of 22 without it.
1 fixed20 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
A test case the skill fixed. Same model, same prompt, with and without the skill.
In a network of SGLT2 inhibitors, should dapagliflozin, empagliflozin, and canagliflozin be pooled into a single class node or kept as separate nodes when evaluating efficacy vs safety?
| Checked | Without skill | With skill |
|---|---|---|
| Evaluates the trade-off between network connectivity and class heterogeneity | Missed | Passed |
| Recommends testing drug-level versus class-level node definitions | Passed | Passed |
The instructions your model reads when the skill loads.
Build and assess the evidence network graph for network meta-analysis, mapping treatment nodes, direct comparison edges, and evaluating network geometry.
treatment_comparisons: All pairwise comparisons available in included studiesstudy_arms: Study arm-level data (treatments, sample sizes)Complete network geometry description with connectivity assessment, comparison matrix, and transitivity evaluation.
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 20 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.