Adversarial Debate (Truth-Seeking Variant)

SkillDev tools

'Strategy: Dialectic engine retuned for truth-seeking, not survival.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Adversarial Debate (Truth-Seeking Variant) skill

What this skill tells your AI

The instructions your AI receives, as published by yogsoth-ai/de-anthropocentric-research-engine in skills/adversarial-debate-truthseeking/SKILL.md and read by ahel’s review.

A retuning of classic critic-defender-judge debate. The classic version asks "which side argued better?" and outputs a survival/resilience verdict — a persuasiveness metric. That is wrong for research: a claim can win a debate by being slippery (un-pin-down-able) while being scientifically empty. This variant changes the roles and the judge's job so the debate produces a falsifiability classification, not a winner.

What changed from the original (multiagent-debate)

ElementOriginal (publication)This variant (truth-seeking)
Defender's jobMake the claim look strong / surviveState the claim in its MOST falsifiable form — maximize what it forbids
Critic's jobFind weaknesses to score againstFind one concrete observation/computation that would refute it
Judge's verdictWinner + resilience scoreBucket: BROKEN / CORROBORATED / UNFALSIFIABLE
SuccessArtifact survivesWe learn whether the claim is even testable, and if so whether it holds
Slippery claimWins (un-attackable)Flagged UNFALSIFIABLE (worst outcome)

Roles

Defender (steelman-to-falsifiable)

The defender does NOT defend the claim as comfortable or vague. The defender's sole job is to restate the claim in the sharpest, most-forbidding form that is still faithful to what we actually meant. A claim of the form "the unification is elegant" is not a defendable form — it forbids nothing. "Under intervention X the law collapses to form A and NOT form B" is — it stakes out something an observation could contradict. If the defender cannot produce a forbidding form, that itself is the verdict (UNFALSIFIABLE) — the defender must report this honestly rather than retreat to vagueness.

Critic (refuter)

The critic does NOT accumulate debating points. The critic tries to produce ONE of: (a) a counterexample (a case the claim forbids but that occurs / could occur), (b) a derivation error (the claim does not follow from its stated premises), (c) a demonstration that the claim's "forbidden" set is empty (it forbids nothing → UNFALSIFIABLE). The critic must commit to a specific refuter before arguing, to prevent goalpost-shifting.

Judge (classifier, not picker)

The judge reads the exchange and assigns a bucket. The judge explicitly does NOT decide who argued better. The judge asks three questions in order:

  1. Did the defender produce a falsifiable form? If NO → UNFALSIFIABLE.
  2. Did the critic produce a valid refuter against that form? If YES → BROKEN (record the refutation).
  3. If the form was falsifiable and survived a severe critic attack (one that would likely have succeeded if the claim were false) → CORROBORATED (record what was forbidden-and-held). A survival against a weak/lazy attack is NOT corroboration — the judge sends it back for a more severe round.

Execution (per claim)

  1. debate-architect (import) — set rounds (budget), pick the single claim, brief the three roles on the truth-seeking variant explicitly.
  2. Defender turn — produce the most-falsifiable form. Record it verbatim.
  3. Critic turn — commit to a refuter type, then attack.
  4. Cross-examination (import cross-examination SOP) — judge probes the critic's refuter for validity and the defender's form for hidden escape hatches (the moves a slippery claim uses to dodge: redefining terms mid-debate, retreating to a weaker claim, "it's just a model").
  5. Severity check — judge asks: if the claim were false, would this attack have caught it? If not, escalate (more severe critic) before any CORROBORATED verdict.
  6. Bucketing — assign and record.

Severity rubric (Mayo)

A test/attack is severe to the degree that the claim would probably have FAILED it if the claim were false. Cheap severity wins: prefer the attack that, had the claim been wrong, would most obviously have broken it. A claim that passes only weak tests stays at "untested," never "corroborated."

Anti-patterns the judge must catch

  • Definitional retreat — defender redefines a term to escape the counterexample. → counts as BROKEN of the original claim; the redefined claim is a NEW claim needing its own debate.
  • Persuasiveness creep — either side scoring rhetorical points. → judge ignores; only refuters and forbidding-content count.
  • Model-shield — "it's only a model, of course it's idealized" used to deflect a refuter that targets a load-bearing idealization. → does not save the claim; the idealization is the claim under test.

Output

DebateBucketing: per claim → {most-falsifiable form produced (or "none — UNFALSIFIABLE") | critic's committed refuter | cross-exam findings | severity of attack | bucket | recorded refutation-or-forbidden-content}.

Available SOPs

Optional, no fixed order; the final leaf is always a sop.

SOPWhen to use
cross-examinationProbes defender responses for inconsistencies, logical gaps, and unsupported claims. Acts as follow-up interrogation after initial defense.
debate-architectDesigns debate structure based on artifact type — selects attack vectors, assigns perspectives, determines escalation ladder, and configures round parameters.

Signals

GitHub stars
469
Forks
37
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
adversarial-debate-truthseeking
Source
github.com/yogsoth-ai/de-anthropocentric-research-engine