deep-research

<!-- autoresearch: variation B — sharper output: CRAAP-lite credibility tiering, per-finding confidence levels, and falsifiability discipline --> > **${var}** — Research question or topic. Append `--depth=shallow` for a quick 5-source pass, `--depth=deep` (default) for a 30–50 source comprehensive report. ## Overview This skill ingests 30–50 sources in a single 1M-token context session, but unlike most "deep research" pipelines it does not weight every URL equally. Each source is classified by type (primary / secondary / tertiary) and scored on a CRAAP-lite rubric (Authority, Recency, Verifiability) producing a tier (T1 / T2 / T3). Every finding in the final report carries an explicit confidence level grounded in how many T1 sources corroborate it. The report includes a "Falsifiable claims" section so the reader knows what evidence would change the conclusion. Run on-demand via `workflow_dispatch` with `var` set to the research question. Not recommended as a daily cron — save it for questions that warrant the depth. --- ## Steps ### 0. Parse parameters Extract topic and depth from `${var}`: - If `${var}` contains `--depth=shallow`, use shallow mode (5 sources, ~600 words). - Otherwise default to **deep** mode (30–50 sources, 3,000–5,000 words). - The research topic is everything in `${var}` before any `--depth=` flag. - Example: `"AI agent security 2026 --depth=deep"` → topic = "AI agent security 2026", depth = deep. Read `memory/MEMORY.md` for prior research context...