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Prove and counter-prove a statement using parallel agents to eliminate confirmation bias.
5 of 22 test cases passed with the skill.
Tokens, turns and time describe resource use, not a dollar price.
Lift withheld: 7 comparable cases; this report requires 8.
One of 2 test cases the skill fixed. Same model, same prompt, with and without the skill.
Analyze the statement that adding Redis cache to user session lookups reduces API latency by 50% using a dialectic process. What specific evidence must the thesis agent gather?
| Checked | Without skill | With skill |
|---|---|---|
| Focuses the thesis agent specifically on positive evidence, working patterns, and supporting facts. | Passed | Passed |
| Requires the thesis agent to cite concrete file paths and line numbers. | Missed | Passed |
The instructions your model reads when the skill loads.
Objective analysis of a statement by running two agents with opposing goals in parallel, then synthesizing findings.
CRITICAL: Both Task tool calls MUST be in a single message for true parallel execution. Do NOT use run_in_background. Do NOT launch sequentially. Foreground agents in the same message run in parallel and block until both complete.
Agent 1 (Thesis) — find all POSITIVE evidence:
Agent 2 (Antithesis) — find all NEGATIVE evidence:
Both agents must provide specific file paths and line numbers when analyzing code.
After both agents complete, synthesize findings into an objective conclusion:
CRITICAL — after presenting the synthesis, verify it against actual implementation:
test cases passed with the skill
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