본문으로 건너뛰기
cccskills
무료GitHub에 공개

cross-eval

Review board memos and strategy briefs with available Claude, Codex, and Gemini models. Compare concerns, supporting arguments, and votes, then turn disagreements into questions to resolve before committing to a major business decision.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

/cs:cross-eval <memo> — Multi-model consensus on a board memo or strategy brief. Claude + Codex + Gemini cross-review with graceful degradation. Use when a high-stakes memo needs an independent sanity check before the boardroom — e.g. a bet-the-company pivot or fundraise terms.

연동 도구OpenAIGemini
설치 방법 보기

이럴 때 유용합니다

  • Reviewing fundraising terms before signing
  • Checking the reasoning behind a major strategic pivot
  • Examining an acquisition memo before a decision
  • Revisiting a proposal after a divided board vote

포함된 파일(1)

  • SKILL.md4.2 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

/cs:cross-eval — Multi-Model Consensus

Command: /cs:cross-eval <memo-or-brief>

Runs the same memo through multiple model providers and reconciles divergences. Use for high-stakes, irreversible decisions where single-model bias is too costly: M&A, major fundraises, layoffs, strategic pivots, regulatory commitments.

Adapted from gstack's /codex cross-review pattern, generalized to business memos instead of code PRs.

When to Run

  • Before signing a term sheet
  • Before announcing a layoff
  • Before committing to a regulated market
  • Before any decision where reversing costs > 6 months of company time
  • When the boardroom vote was split or had a CRITICAL dissent

Models Used (graceful degradation)

The command tries to invoke each available model in order:

  1. Claude (primary, always available) — the boardroom's native voice
  2. Codex / OpenAI (if OPENAI_API_KEY or codex CLI available)
  3. Gemini (if GEMINI_API_KEY or gemini CLI available)

If only Claude is available, the command runs Claude-only with adversarial mode — same model, different prompt seeds — and clearly labels the output as single-model.

Workflow

  1. Read the memo / brief
  2. Probe environment for available model CLIs / API keys
  3. For each available model:
    • Send the memo with this prompt prefix:

      "You are an independent C-suite reviewer. The following is a board memo from another company's boardroom. Identify the top 3 concerns, the top 3 supports, and your vote (APPROVE / REJECT / DEFER). Do not deferentially agree — assume the memo's reasoning is flawed until proven otherwise."

  4. Collect three independent reviews
  5. Reconcile: where do they agree? Where do they diverge?
  6. Surface the divergences as questions for the founder

Output Format

Saved to ~/.claude/cross-eval/YYYY-MM-DD-<slug>.md:

# Cross-Eval: <memo title>
**Date:** YYYY-MM-DD
**Memo reviewed:** <link>
**Models invoked:** Claude / Codex / Gemini (or noted fallbacks)

## Vote Tally
| Model | Vote | Confidence |
|---|---|---|
| Claude | APPROVE | High |
| Codex | DEFER | Med |
| Gemini | APPROVE | Low |

## Consensus Concerns (≥2 models flagged)
1. <concern> — flagged by Claude + Codex
2. <concern> — flagged by all 3

## Divergent Concerns (1 model flagged)
- <Codex only:> <concern> — worth a second look
- <Gemini only:> <concern> — likely noise, but check

## Consensus Supports (≥2 models endorsed)
1. <support>
2. <support>

## Recommendation
- 🟢 GO if 2+ models APPROVE and no CRITICAL concerns from any model
- 🟡 PAUSE if any model is DEFER or any concern is CRITICAL
- 🔴 STOP if 2+ models REJECT

## Open Questions for Founder
1. <question raised by divergence>
2. <question raised by divergence>

Why This Matters

Single-model recommendations have systematic biases. Claude trends helpful and may under-weight risk. Codex (OpenAI) trends more cautious on emerging-market and regulatory topics. Gemini trends more cautious on technical scale claims. Disagreement is signal, not noise.

This is the safety net before irreversibility — not a replacement for outside counsel or a real board.

Graceful Degradation

If only Claude is available:

**Models available:** Claude only
**Mode:** ADVERSARIAL — running 3 independent Claude passes with different system prompts:
  1. Standard reviewer
  2. Devil's advocate (must find 3 critical concerns)
  3. Steelman (must find 3 strongest reasons to approve)

This is weaker than true multi-model. Treat the result as suggestive, not conclusive.

Routing

  • /cs:decide — if consensus is GO
  • /cs:freeze — if consensus is PAUSE
  • /cs:boardroom (re-run) — if consensus is STOP

Related


Version: 1.0.0

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Audit web applications for accessibility issues against WCAG 2.2 Level A and AA, the web accessibility standards. Get framework-specific code fixes, contrast checks, verification steps, and reports, with options for automated checks in development pipelines.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Audit a web application before release
  • Fix contrast and keyboard navigation issues
  • Prepare accessibility reports for stakeholders
alirezarezvani/claude-skills2.8만2026년 8월 30일 업데이트

Plan A/B tests that compare page variations, from headlines to pricing layouts. Define a hypothesis, choose success metrics, calculate sample size and duration, and prepare launch checks and results reports to support decisions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Comparing landing page headlines
  • Testing signup button changes
  • Planning pricing page experiments
alirezarezvani/claude-skills2.8만2026년 8월 30일 업데이트

Create paid ad headlines and body copy tailored to each platform's character limits. Use existing performance data to develop variations, explore new messaging angles, and check copy for length, quality, and potential rejection risks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Creating Google RSA headlines
  • Writing Meta and LinkedIn ad copy
  • Developing variations of successful ads
alirezarezvani/claude-skills2.8만2026년 8월 30일 업데이트

Review code changes from three critical perspectives: production failures, maintainability, and security. Get a consolidated report that ranks findings by severity and provides merge guidance, helping examine assumptions that an ordinary self-review may overlook.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Reviewing a pull request before merging
  • Getting a second opinion on AI-written code
  • Checking authentication or data access code
alirezarezvani/claude-skills2.8만2026년 8월 30일 업데이트

aeo

무료

Audit and improve content intended for citation in AI answers. Review evidence, author information, and structure, generate revised content and structured metadata, and keep a local record of observed citations across AI services.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Audit existing articles for evidence and credibility gaps
  • Revise article structure and references for AI answers
  • Record citations observed across AI services
alirezarezvani/claude-skills2.8만2026년 8월 30일 업데이트

Create signed records for consequential agent actions such as deployments, deletions, and payments. Decide which actions need evidence, record the agent, action, target, and policy, then verify the resulting certificate offline to detect later changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Creating signed records for production deployments
  • Preserving evidence of deletions and payments
  • Recording access grants for later review
alirezarezvani/claude-skills2.8만2026년 8월 30일 업데이트

alirezarezvani의 스킬 모두 보기

이 스킬의 문제 신고