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Construct the strongest possible counter-argument to the convergence decision using Dialectical Inquiry and Thesis-Antithesis-Synthesis methods.
Passed 19 of 22 test cases with the skill, and 3 of 22 without it.
and 35 more in the full report
18 fixed1 passed either way1 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 18 test cases the skill fixed. Same model, same prompt, with and without the skill.
Our game studio decided to launch an unannounced title using proprietary engine software. During counter-thesis evaluation, building on Unreal Engine 5 proved vastly superior in time-to-market, cost, and developer hiring. The counter-thesis completely invalidated the original plan. Format the output in YAML.
| Checked | Without skill | With skill |
|---|---|---|
| The verdict field contains exactly ANTITHESIS_WINS. | Missed | Passed |
| The output includes the thesis and antithesis keys. | Missed | Passed |
The instructions your model reads when the skill loads.
Purpose: Build the most compelling counter-thesis to the convergence winner — not to overturn the decision, but to ensure it can withstand the strongest possible intellectual challenge and to surface any synthesis opportunities.
When to use:
| Metric | Minimum |
|---|---|
| Counter-thesis depth | Full argument with evidence |
| Debate rounds | >= 2 (thesis vs antithesis) |
| Synthesis attempts | >= 1 |
thesis: <the convergence decision>
antithesis: <constructed counter-argument>
debate_rounds: []
synthesis_attempted: false
synthesis_result: null
final_verdict: null # THESIS_STANDS | ANTITHESIS_WINS | SYNTHESIS_FOUND
| Tactic | When to Deploy |
|---|---|
| adversarial-debate-protocol | Default — formal advocate/critic/judge cycle |
| assumption-excavation | When counter-thesis rests on different assumptions |
test cases passed, vs 3 / 22 without
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