Skill Market

cross eval

/cs:cross-eval <memo> — Multi-model consensus on a board memo or strategy brief. Claude + Codex + Gemini cross-review with graceful degradation.

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Skill Introduction

Overview
/cs:cross-eval <memo> — Multi-model consensus on a board memo or strategy brief. Claude + Codex + Gemini cross-review with graceful degradation.

Core value

Turns reusable Development know-how into an installable skill, helping users complete github, community, claude, codex work faster.

Target users

  • Developers, testers, and maintainers who handle Development tasks in Focus Code.
  • Teams that already trust workflows or content from alirezarezvani.
  • Users who want standardized prompts, steps, or conventions instead of repeating setup work.

Best practices

  • Read the skill content first to confirm required inputs, expected outputs, and dependencies.
  • Try it on a small task before relying on it for critical work.
  • Add project-specific constraints such as coding style, target platform, test expectations, and delivery format.
  • For external sources, verify the source link, version, and recent maintenance activity.

Best use cases

  • Tasks related to github, community, claude, codex that need a reusable execution flow.
  • Converting a community repo, team convention, or personal workflow into day-to-day assistance.
  • Starting from a proven skill instead of writing prompts or procedures from scratch.

Limits and boundaries

  • Results depend on the quality of the original skill content and may need human correction.
  • It does not replace code review, tests, security review, or professional judgment.
  • External tools, APIs, account permissions, and local dependencies still need separate setup.

Differentiation

  • Structured around Development, making it easier to discover and reuse than loose prompt snippets.
  • Marked as GitHub, which helps users judge trust and maintenance expectations.
  • Keeps the original source link available for repository, documentation, or discussion follow-up.
  • Tagged with github, community, claude, codex, so it can be filtered by concrete task intent.

Install and use

Install
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focus install cross-eval-cc4bee
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SKILL.md

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name: "cross-eval" description: "/cs:cross-eval <memo> — Multi-model consensus on a board memo or strategy brief. Claude + Codex + Gemini cross-review with graceful degradation."

/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

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