Loading skill
Install any skill in seconds. Free to start, no credit card required.
Get Started Free →yogsoth-ai/divergence-detection
Identifies agreement and disagreement patterns across multiple perspective evaluations. Maps consensus clusters and persistent divergence points.
Passed 17 of 21 test cases with the skill, and 5 of 21 without it.
and 13 more in the full report
13 fixed5 passed either way4 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.
Across three deliberation rounds on a pricing engine design, the open points of dispute decreased from six items in round 1 to two items in round 3. What field and value describe this directional tracking?
| Checked | Without skill | With skill |
|---|---|---|
| Sets the convergence_trend field value to shrinking | Missed | Passed |
The instructions your model reads when the skill loads.
Identifies agreement/disagreement across perspectives.
Subagent — spawned via subagent-spawning/spawn-agent.
Divergence analysis requires comparing all perspective outputs simultaneously in dedicated context without being anchored to any single perspective.
One unit = one divergence analysis per round.
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 5 / 21 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.