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omcustomcodex-agora
Multi-LLM adversarial consensus loop — 3+ LLMs compete to find flaws in designs/specs until unanimous agreement is reached
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Multi-LLM adversarial consensus loop — 3+ LLMs compete to find flaws in designs/specs until unanimous agreement is reached
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Pre-action boundary checking — validates agent tool calls against declared capabilities and task contracts
Auto-detect project context and optimize harness — deactivate unused agents/skills, suggest missing experts, generate project profile
Monitor Claude Code releases and auto-generate GitHub issues for each new version
Execute OpenAI Codex CLI prompts and return results
YAML-based DAG workflow engine with topological execution and failure strategies
Routes data engineering tasks to the correct DE expert agent. Use when user requests data pipeline design, DAG authoring, SQL modeling, stream processing, or warehouse optimization.
| name | omcustomcodex:agora |
| description | Multi-LLM adversarial consensus loop — 3+ LLMs compete to find flaws in designs/specs until unanimous agreement is reached |
| user-invocable | true |
| argument-hint | <document-path> [--rounds N] [--severity-threshold HIGH] |
| effort | max |
| scope | core |
| version | 1.0.0 |
| source | {"type":"external","origin":"github","url":"https://github.com/baekenough/baekenough-skills","version":"1.0.0"} |
3개 이상의 LLM(Claude, Codex/GPT, Gemini)이 경쟁적으로 설계/문서의 결함을 찾고, 만장일치 합의에 도달할 때까지 반복하는 적대적 교차 검증 스킬.
codex-exec skill (Codex/GPT 호출)gemini-exec skill (Gemini 호출)OMCODEX_AGENT_TEAMS=1) or Agent tool available/omcustomcodex:agora docs/design.md # Default: 3 LLMs, unlimited rounds
/omcustomcodex:agora docs/design.md --rounds 10 # Max 10 rounds
/omcustomcodex:agora docs/design.md --severity-threshold HIGH # Exit when no HIGH+ findings
/omcustomcodex:agora docs/design.md --models claude,codex # 2 LLMs only
TeamCreate("agora-review")Spawn 3 reviewers as Agent Team members:
### Anti-Groupthink Mode
Use `--anti-groupthink` when consensus itself is a risk:
1. Reviewers submit independent findings before seeing peer output.
2. One reviewer is assigned as devil's advocate.
3. Minority findings are preserved unless the synthesis explicitly rejects them with evidence.
4. Debate is capped at two challenge rounds before the lead either decides or requests more facts.
For decisions where dissent preservation is the main goal, use `roundtable-debate` directly instead of `agora`.
Agent(name: "claude-critic", model: opus, effort: max)
→ 20-point deep adversarial review
Agent(name: "codex-critic", model: opus)
→ Invoke Skill(codex-exec) for GPT perspective + independent Claude analysis
Agent(name: "gemini-critic", model: opus)
→ Invoke Skill(gemini-exec) for Gemini perspective + independent Claude analysis
Each reviewer performs adversarial review with this template:
For EACH review point:
### Round N: [Topic]
**Severity**: CRITICAL / HIGH / MEDIUM / LOW
**Flaw**: [Specific, concrete problem description]
**Evidence**: [Why this is real, not theoretical]
**Impact**: [What happens if not addressed]
**Counter-argument**: [Best case FOR the current design]
**Verdict**: KEEP / MODIFY / REJECT
Review areas (adapt to document type):
Each reviewer sends findings to the other two via SendMessage.
Counter-review template:
Team lead aggregates all findings:
UNANIMOUS CRITICAL: [findings all 3 agreed on]
STRONG AGREEMENT: [findings 2/3 agreed on]
SPLIT DECISIONS: [findings with disagreement + resolution]
Determine verdict:
SendMessage(to: "*")When ALL reviewers agree BUILD or BUILD WITH CHANGES:
.codex/outputs/sessions/{date}/agora-{topic}-{time}.mdSendMessage(to: "*", message: {type: "shutdown_request"})| Condition | Required |
|---|---|
| CRITICAL findings resolved | ALL |
| HIGH findings resolved or accepted | ALL |
| All reviewers rate BUILD or BUILD WITH CHANGES | YES |
| Cross-review disagreements resolved | ALL |
# Agora Consensus Report
## Document: [path]
## Rounds: [N]
## Reviewers: [list with LLM models used]
## Verdict: [BUILD / BUILD WITH CHANGES / REDESIGN]
## Unanimous Findings
| # | Finding | Severity | All 3 Agree |
|---|---------|----------|-------------|
## Required Changes Before Build
1. [change with source reviewer]
2. ...
## Accepted Risks
- [finding accepted with justification]
## Unique Contributions Per Reviewer
| Reviewer | Findings Others Missed |
|----------|----------------------|
## Process Metrics
- Rounds: N
- Total findings: N
- Cross-adopted: N
- Severity upgrades: N
- Severity downgrades: N
- Disagreements raised: N
- Disagreements resolved: N/N
# Default settings
agora:
max_rounds: unlimited # Set --rounds to limit
severity_threshold: HIGH # EXIT when no findings >= threshold
models:
- claude (opus, max effort)
- codex (via codex-exec skill)
- gemini (via gemini-exec skill)
review_points: 20 # Per reviewer
cross_review: true # Peer-to-peer sharing
auto_redesign: true # Auto-produce redesign on REDESIGN verdict
| Anti-Pattern | Why Wrong | Correct |
|---|---|---|
| Single LLM review | Misses blind spots | 3+ LLMs find complementary flaws |
| No cross-review | Reviewers don't challenge each other | Peer-to-peer sharing surfaces disagreements |
| Accepting first BUILD | May miss edge cases | Loop until ALL agree |
| Ignoring split decisions | Unresolved disagreements fester | Resolve every split with evidence |
| Push for consensus too fast | Premature agreement | Let reviewers challenge freely |