Loading skill
Install any skill in seconds. Free to start, no credit card required.
Get Started Free →yogsoth-ai/cluster-analysis
Identify natural opinion clusters from collected judgments and characterize each cluster.
Passed 13 of 22 test cases with the skill, and 4 of 22 without it.
and 15 more in the full report
12 fixed1 passed either way6 still failing3 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.
Five cybersecurity audit reports on Encryption Module v2 all unanimously pass the module without any flags. Provide a one-sentence text reply confirming passing status.
| Checked | Without skill | With skill |
|---|---|---|
| The single consensus cluster includes member_count. | Missed | Passed |
| The single consensus cluster includes position_summary. | Missed | Passed |
The instructions your model reads when the skill loads.
Identify natural groupings of similar positions within the collected judgments. Characterize each cluster by its central position, shared reasoning patterns, and distinguishing features.
Spawn a subagent that analyzes the judgments for similarity patterns, groups them into coherent clusters, and provides characterization of each cluster.
Output MUST contain: at least 2 clusters (if genuine disagreement exists), each with cluster_id, position_summary, member_count, and characterization. If all judgments agree, output 1 cluster with a note.
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 4 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.