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Get Started Free →yogsoth-ai/deductive-chain
Derive logical consequences step by step from a given premise, building a traceable derivation chain.
Passed 20 of 23 test cases with the skill, and 19 of 23 without it.
and 1 more in the full report
2 fixed18 passed either way2 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 2 test cases the skill fixed. Same model, same prompt, with and without the skill.
When composing a workflow chain involving subagent execution for deductive tasks, what must be true about the final leaf node in the SOP sequence?
| Checked | Without skill | With skill |
|---|---|---|
| States that the final leaf node in the sequence is always an SOP | Missed | Passed |
| Identifies SOP as the terminal node type | Missed | Passed |
The instructions your model reads when the skill loads.
Subagent that takes a premise and derives logical consequences through valid inference steps, producing a traceable chain.
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 19 / 23 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.