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Surface Argyris governing variables and test whether the problem dissolves under alternative governing variables (double-loop learning).
Passed 10 of 19 test cases with the skill, and 9 of 19 without it.
and 13 more in the full report
10 fixed6 passed either way1 still failing6 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.
In the budget specification for double-loop research workflows, what target count and range are designated for deeper web-research operations?
| Checked | Without skill | With skill |
|---|---|---|
| Specify a target count of 10 for web-research. | Missed | Passed |
| Define the acceptable range as 9 to 11. | Missed | Passed |
The instructions your model reads when the skill loads.
Apply double-loop learning to question the problem's governing variables.
| Base SOP | Target | ±10% Range |
|---|---|---|
| web-search | 20 | 18–22 |
| web-research | 10 | 9–11 |
| paper-overview | 30 | 27–33 |
| paper-search | 20 | 18–22 |
| paper-research | 10 | 9–11 |
<HARD-GATE>
| SOP | Done | Target | % |
|-----|------|--------|---|
| web-search | ? | 20 | ? |
| web-research | ? | 10 | ? |
| paper-overview | ? | 30 | ? |
| paper-search | ? | 20 | ? |
| paper-research | ? | 10 | ? |
Budget Gate: OPEN/CLOSED (>=80% required to exit)
</HARD-GATE>
Import: web-search, web-research, paper-overview, paper-search, paper-research Subagent: governing-variable-surfacing, counter-assumption-generation
test cases passed, vs 9 / 19 without
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