Dual-model deep research with adversarial cross-audit. Claude and Codex each run their own deep-research skill independently on the same question, then each audits the OTHER's citations (claim-support: PASS/WEAK/FAIL → trust-score + verdict), and Codex synthesizes one trust-weighted final report with a disagreement ledger. All 5 notes (2 reports, 2 audits, 1 final) + an index land in a persistent
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ultra-research
$SKILL_DIR is this skill's directory. The Python helper is scripts/vault.py; prompts are in prompts/. Read each prompt when you reach its stage.
When to use (routing)
Prefer plain claudex:deep-research by default. Use ultra-research only when: the question is high-stakes (policy/financial/factual gravity); the user explicitly asks for dual-model or cross-verified research; or a prior deep-research run on the topic returned mixed/unreliable citation integrity.
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[Description truncada. Veja o README completo no GitHub.]
