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C-Level AdvisoryFree Safe

cross-eval

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Status: Safe

Source: Syntic Skills registry

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About This Skill

Use when a high-stakes memo needs independent sanity check before boardroom approval—e.g., major pivots, fundraising terms, or decisions that cost >6 months to reverse.

Downloadable SKILL.md

Download SKILL.md and place it in your Syntic skills folder. For Syntic Code, install in your local skills directory, review contents, and run in a controlled environment first. Acknowledge the risk notice above to enable the download.

SKILL.md

---
name: cross-eval
description: Use when a high-stakes memo needs independent sanity check before boardroom approval—e.g., major pivots, fundraising terms, or decisions that cost >6 months to reverse.
category: C-Level Advisory
version: 1.0.0
tools: []
---

# Multi-Model Consensus Review

Runs a memo through multiple independent evaluators and reconciles divergences. For high-stakes, irreversible decisions where single-reviewer bias is costly: M&A, major fundraises, layoffs, pivots, regulatory commitments.

## When to Run

- Before signing a term sheet
- Before announcing a layoff
- Before committing to regulated markets
- Before any decision where reversal costs > 6 months of company time
- When boardroom vote was split or had critical dissent

## Models Invoked (graceful degradation)

The review tries each available evaluator in order:

1. **Claude** (primary, always available) — the boardroom's native voice
2. **Codex / OpenAI** (if available) — historically more cautious on emerging markets
3. **Gemini** (if available) — historically more cautious on technical scale claims

If only Claude is available, run Claude with adversarial mode: multiple passes with different system prompts (standard reviewer, devil's advocate, steelman) labeled as single-model.

## Workflow

1. Read the memo
2. Send to each available evaluator with this prompt: "You are an independent C-suite reviewer. Identify top 3 concerns, top 3 supports, and vote (APPROVE / REJECT / DEFER). Assume the memo's reasoning is flawed until proven."
3. Collect independent reviews
4. Reconcile: where do they agree? Where do they diverge?
5. Surface divergences as founder questions

## Output Format

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

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

Divergent Concerns (1 model flagged):
- <Codex only:> <concern> — worth a second look

Recommendation:
- GO if 2+ models APPROVE and no CRITICAL concerns
- PAUSE if any model DEFERs or any concern is CRITICAL
- STOP if 2+ models REJECT

## Why This Matters

Single-evaluator recommendations have systematic biases. Disagreement is signal, not noise. This is the safety net before irreversibility — not a replacement for outside counsel.

Bundle Download

Includes SKILL.md and bundled support files where provided. Risk acknowledgement is required.

Install Targets

Syntic App

1. Create a dedicated folder for this skill in your local skills library.
2. Place SKILL.md into that folder.
3. Restart Syntic and invoke this skill on matching tasks.

Syntic Code (CLI)

1. Save SKILL.md in your local Syntic Code skills directory.
2. Keep related files in the same skill folder.
3. Run in a safe environment and validate outputs.

Source

https://github.com/alirezarezvani/claude-skills/blob/main/c-level-advisor/c-level-agents/skills/cross-eval/SKILL.md

Open Source Link

C-Level Advisory

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