adversarial-deliberation
Run structured attack/defense/adjudication over a claim, candidate, criterion set, or current winner.
Skill by yogsoth-ai
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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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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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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Signals
- 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
- Source
- GitHubgithub-graphql
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Cite this page
adversarial-deliberation skill. Agent Mart. https://agentmart.dev/skills/yogsoth-ai-adversarial-deliberation (last updated 2026-10-24)