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adversarial-deliberation

Run structured attack/defense/adjudication over a claim, candidate, criterion set, or current winner.

Skill by yogsoth-ai

IndexedApache-2.0★ 505
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About

Run structured attack/defense/adjudication over a claim, candidate, criterion set, or current winner. Perspective, target, escalation depth, loser-resurrection, and steelman/winner-stress modes are parameters; role execution is runtime-agnostic.

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What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 26, 2026.

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  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/adversarial-deliberation

What's inside

Skill name
adversarial-deliberation
Description
Run structured attack/defense/adjudication over a claim, candidate, criterion set, or current winner. Perspective, target, escalation depth, loser-resurrection, and steelman/winner-stress modes are parameters; role execution is runtime-agnostic.
License
Apache-2.0
Instructions
80 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# adversarial-deliberation
## Purpose
Run structured attack, defense, cross-examination, and adjudication over a claim, candidate, criterion set, or current winner.
## Input contract
```yaml
mode_contracts:
  critic-defender-judge: &deliberation_input
    required: [target, claim_or_candidate, criteria]
    optional: [perspectives, escalation_depth]
    constraints: [target_scope_and_criteria_must_be_explicit, evidence_provenance_required]
  courtroom: *deliberation_input
  winner-stress: *deliberation_input
  resurrection-advocacy: *deliberation_input
  criteria-interrogation: *deliberation_input
  stakeholder-objection: *deliberation_input
  counter-thesis: *deliberation_input
```
## Execution protocol
Do not perform called SOP operations inline; each loaded SOP owns its contract and thresholds.

1. You MUST load skill `construct-critique` to construct the strongest attack. You MUST load skill `construct-defense` to construct the strongest defensible case.
2. You MUST load skill `surface-assumptions` to expose load-bearing assumptions. You MUST load skill `construct-perspective-set` to construct alternate perspectives.
3. You MUST load skill `cross-examine` to cross-examine each exchange. You MUST load skill `assess-sensitivity` to perturb load-bearing choices.
4. You MUST load skill `adjudicate-exchange` to adjudicate against declared criteria. You MUST load skill `calibrate-adversarial-confidence` to update calibrated confidence.
   If the task shifts from balanced exchange to direct attack-surface probing, consider `structured-red-team`. If an exposed assumption requires focused perturbation, consider `assumption-stress-test`. If the surviving claim needs a decisive falsification program, `falsification-first-audit` may be the better next tactic.
Deviation: skip defense only when the target is explicitly exploratory; skip sensitivity only when no perturbable input is declared; otherwise retain all steps.
## Output contract
```yaml
mode_contracts:
  critic-defender-judge: &full_deliberation_output
    produces: [attack_record, defense_record, adjudication, confidence_trace]
    delta_fields: [findings, evidence_updates, uncertainties, decisions, open_questions]
  courtroom: *full_deliberation_output
  winner-stress:
    produces: [attack_record, adjudication, confidence_trace]
    delta_fields: [findings, evidence_updates, uncertainties, decisions, open_questions]
  resurrection-advocacy: &defense_deliberation_output
    produces: [defense_record, adjudication, confidence_trace]
    delta_fields: [findings, evidence_updates, uncertainties, decisions, open_questions]
  criteria-interrogation:
    produces: [attack_record, defense_record, adjudication]
    delta_fields: [findings, evidence_updates, uncertainties, decisions, open_questions]
  stakeholder-objection: *full_deliberation_output
  counter-thesis: *defense_deliberation_output
```
## Thresholds and quality gates
- A-class debate calibration: declared universe = all rounds and claims; numerator = rounds with evidence-linked confidence updates; batch increment = one completed exchange; stopping reason = confidence stabilizes or unresolved disagreement is explicitly reported; source references = evidence IDs and round IDs; direction/threshold reason = escalate when new evidence changes ranking, terminate only when criteria are adjudicated or a non-resolvable uncertainty is recorded.
- Every verdict must cite criteria and preserve dissent.
## Failure and counterexamples
Do not treat rhetorical fluency as evidence. Mark unresolved when attack and defense share an untested assumption or criteria are absent.
## Provenance map
- resolved: multiagent-debate
- resolved: critic-defender-judge
- resolved: courtroom-structured
- resolved: adversarial-escalation
- resolved: steel-manning
- resolved: resurrection-advocacy
- resolved: winner-stress-testing
- resolved: adversarial-debate-protocol
- resolved: assumption-excavation
- resolved: multi-perspective-attack
- intermediate: Pass5/adversarial-debate
- intermediate: Pass5/steelman-validation
## Preserved source criteria ledger
| source | source line | kind | source criterion |
|---|---:|---|---|
| v4 architecture | node desc | textual | Structured attack/defense/adjudication; loser-resurrection and steelman/winner-stress are parameters. |
## Context checkpoint / Delta notes
Append claim, criteria, attack/defense records, dissent, confidence changes, and unresolved questions.

## Mode branches
- `critic-defender-judge`: attack, defense, adjudication.
- `courtroom`: add cross-examination and explicit evidentiary ruling.
- `winner-stress`: perturb the current winner and record failure triggers.
- `resurrection-advocacy`: re-open a rejected candidate with a steelman.
- `criteria-interrogation`: challenge the criteria before ranking.
- `stakeholder-objection`: add perspective-specific objections.
- `counter-thesis`: require a mechanism-distinct opposing thesis.

From yogsoth-ai/de-anthropocentric-research-engine, Apache-2.0.

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Stars
505
Forks
43
Open issues
1
Last commit (this folder)
Sep 23, 2026 (1 month ago)
Last release
Oct 23, 2026 (5 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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adversarial-deliberation skill. Agent Mart. https://agentmart.dev/skills/yogsoth-ai-adversarial-deliberation (last updated 2026-10-24)