Agent skill · alirezarezvani
cross-eval
/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.
What it needs
About 3k tokens when loaded.
What this skill does
/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 OPENAIAPIKEY or codex CLI available) 3. Gemini (if GEMINIAPIKEY 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: 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. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills alirezarezvani/cross-eval--b005c3