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omh-adversarial-consensus

rlaope · Инструменти

[omh] Hermes Adversarial Consensus workflow: independent perspectives attack a proposal, then distill into a bundle a separate planner consumes. Use when the user says: adversarial-consensus, adversarial planning, adversarial plan review, red team this plan, red-team this plan, red team the proposal, multi-perspective review, multiple perspectives.

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Теми: agent · ai · ai-agent · ai-tools · claude-code · codex · hermes-agent · hermes-skill · skills

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MIT
Последна проверка на записа
22.09.2026 г.

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Adversarial Consensus

This is an OMH adversarial-consensus workflow skill, projected for Agent Skills hosts (Claude Code, Codex, Cursor, opencode, OpenClaw, pi).

Why This Exists

adversarial-consensus exists because agreement reached by perspectives that read each other is not review — it is convergence. Independent findings, an attack round nobody is allowed to defend against, and a distillation that may only subtract produce objections a single planning pass never surfaces, and the mandatory handoff keeps that bundle from being mistaken for the plan.

Do Not Use When

  • The user wants the plan itself, with options, acceptance criteria, and verification commands; use ulw-plan, which this workflow feeds.
  • The request is still too ambiguous to state the proposal being attacked; use ulw-interview first.
  • The user wants completed code reviewed for defects rather than a proposal attacked before it is built; use omh-code-review.
  • The user wants hostile runtime scenarios against a built change; use ulw-qa.
  • One perspective would do: a small local change with no contested decision does not earn three rounds.

Examples

Good example:

  • Prompt: $adversarial-consensus we plan to move session state into Redis before the launch — attack it from every angle before I write the plan.
  • Expected behavior: Name the roster and their distinct angles, take blind findings from each, run one attack-only round, resolve each objection to defend/refine/concede, distill only into the four buckets, and hand the bundle to ralplan as planning input.
  • Why: The decision is contested and pre-plan, which is exactly where independent objections are worth more than one planner's confidence.

Bad example:

  • Prompt: $adversarial-consensus give me the migration plan with the steps and the rollout order.
  • Expected behavior: Produce the distilled bundle and hand it to ralplan; the steps and rollout order are the planner's output, not this workflow's.
  • Why: The bundle is INPUT to planning. Emitting a plan here skips the reviewed-plan gate and turns the buckets into a task list.

Completion Checklist

Целият SKILL.md в GitHub