ワンクリックで
agora
Multi-LLM adversarial consensus loop — 3+ LLMs compete to find flaws in designs/specs until unanimous agreement is reached
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
メニュー
Multi-LLM adversarial consensus loop — 3+ LLMs compete to find flaws in designs/specs until unanimous agreement is reached
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
AI가 콘텐츠만 작성하면 키보드 네비·사이드 네비·풀스크린 no-scroll이 보장되는 단일 HTML 발표자료(슬라이드 덱)를 생성하는 스킬. PPT 대체용 웹 기반 슬라이드.
Execute Google Gemini CLI prompts in non-interactive mode and return structured results. Enables hybrid AI workflows combining your AI agent's reasoning with Gemini's code generation. Supports text, JSON, and stream-JSON output, approval modes (normal, yolo, sandbox, plan), model override, timeout control, and working directory selection. Use for code generation, research, analysis, and reasoning tasks via Google Gemini CLI.
Analyze external URLs to evaluate fit with your project and auto-create GitHub issues with structured verdicts. Uses a lightweight project fingerprint for token-efficient codebase analysis with git-hash-based cache refresh.
YAML-based sequential workflow engine — define, list, run, resume, add, and delete pipelines from natural language or YAML files. Supports skill invocation, free-form prompts, conditional steps, foreach iteration, state tracking, and halt-and-resume error recovery.
Execute OpenAI Codex CLI prompts in non-interactive mode and return structured results. Enables hybrid AI workflows combining your AI agent's reasoning with Codex code generation. Supports text and JSON output, effort levels (minimal to xhigh), model override, timeout control, and full-auto mode. Use for code generation, research, analysis, and reasoning tasks via openai codex CLI.
| name | 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 |
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)CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1) or Agent tool available/agora docs/design.md # Default: 3 LLMs, unlimited rounds
/agora docs/design.md --rounds 10 # Max 10 rounds
/agora docs/design.md --severity-threshold HIGH # Exit when no HIGH+ findings
/agora docs/design.md --models claude,codex # 2 LLMs only
TeamCreate("agora-review")Spawn 3 reviewers as Agent Team members:
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:
.claude/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 |