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cross-eval
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.
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.
SKILL.md
cross-eval.SKILL.mdPlace it in your Syntic skills folder. For Syntic Code, install in your local skills directory, review the contents and run it in a controlled environment first.
--- 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. **Amara** (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.
Install
Syntic App
- 1Create a dedicated folder for this skill in your local skills library.
- 2Place SKILL.md into that folder.
- 3Restart Syntic and invoke this skill on matching tasks.
Syntic Code (CLI)
- 1Save SKILL.md in your local Syntic Code skills directory.
- 2Keep related files in the same skill folder.
- 3Run in a safe environment and validate outputs.