Interview-first — clarifying questions before research starts

PASS33sprompt: enartifact: en

Prompt (verbatim)

Using the bioresearcher-deep-research skill, run a deep research report on CAR-T therapy safety in solid tumors.

What happened

Evidence

The clarifying-question batch (verbatim)
The skill's workflow requires a clarifying interview before research begins. Here are my questions: **Step 1: Clarifying questions — CAR-T therapy safety in solid tumors** 1. **Safety scope**: Should the report cover the full adverse-event spectrum (CRS, ICANS, on-target/off-tumor toxicity, hematologic toxicity, long-term toxicities), or focus on specific events? 2. **Tumor types**: Any priority solid tumors (e.g., glioblastoma, pancreatic, ovarian, breast), or a pan-solid-tumor overview? 3. **Time frame**: Last 5 years only, or include the full historical record (early-generation trials onward)? 4. **Evidence base**: Clinical trials only (ClinicalTrials.gov + published results), or also include mechanistic/preclinical literature and FDA/EMA regulatory actions? 5. **Output depth**: Concise brief (~1,500 words) or full report (~3,000+ words with HTML)? Please answer any or all — … (Opening + all five questions verbatim from the 2026-09-11 session transcript; ellipsis only shortens the closing.)

Objective checks

checks passed: 5/5

Fan-out moden/a — no research started (the interview turn comes first)
Provenanced818c85 · opencode 1.18.30

Replay

node demos/run-demo.mjs --only agent-interview-en --publish

Manual-run only — this replay spends LLM tokens (real opencode CLI + network).

In the repository: README · transcript · result.json · artifact directory (permalink)