cross-eval – skill Agent & Tự động hóa cho agent AI

/c-level-agents:cross-eval — Multi-Model Consensus

Command: /c-level-agents: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

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

Related

• Skills: [board-meeting](${CLAUDE_PLUGIN_ROOT}/vendor/c-level-advisor/board-meeting/SKILL.md), [executive-mentor](../../../c-level-advisor/executive-mentor/)
• Inspiration: gstack's /codex cross-review pattern (adapted to business memos)

---

Version: 1.0.0