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Systematically extract implicit assumptions from methods, frameworks, or arguments. Identifies what is taken for granted without explicit justification.
Passed 21 of 22 test cases with the skill, and 21 of 22 without it.
1 fixed20 passed either way0 still failing1 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.
Evaluate a technical proposal asserting that extending an LLM context window to 10 million tokens solves long-range dependency modeling for legal document analysis. Extract the implicit assumptions underlying this claim rather than evaluating alternative model architectures.
| Checked | Without skill | With skill |
|---|---|---|
| Identifies underlying assumptions about retrieval precision over long sequences or attention distribution uniformity | Passed | Passed |
| Structures output as a categorized summary table of implicit premises | Missed | Passed |
The instructions your model reads when the skill loads.
Systematically extract implicit assumptions from methods, frameworks, or arguments.
Subagent — spawned via subagent-spawning/spawn-agent.
Assumption detection requires careful line-by-line reading with a skeptical lens — benefits from dedicated context.
Quantity target is set by the calling strategy's budget table. This SOP executes one unit = one assumption surfacing pass producing a categorized assumption table.
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 21 / 22 without
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