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SOP: identify variables and their roles within a hypothesis
Passed 17 of 23 test cases with the skill, and 15 of 23 without it.
and 7 more in the full report
7 fixed10 passed either way1 still failing5 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
Analyze this mechanism description: 'The system runs faster.' Extract all variables and format them as a JSON list with roles and operationalizability.
| Checked | Without skill | With skill |
|---|---|---|
| The response identifies that no complete causal mechanism chain with distinct variables was provided. | Missed | Passed |
The instructions your model reads when the skill loads.
Identify all variables from a mechanism description and annotate their roles within the hypothesis structure.
Not met → stop, return error: mechanism description is insufficient to identify variables.
[
{
"name": "Variable name",
"role": "IV | DV | mediator | moderator | control | confound",
"description": "What this variable represents",
"source_mechanism": ["mechanism name(s) where this variable appears"],
"operationalizable": "high | medium | low | unclear",
"operationalization_notes": "How it might be measured or manipulated"
}
]
Identify at least 2 variables (1 IV + 1 DV).
test cases passed, vs 15 / 23 without
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