deep-research

# Deep Research Skill A multi-agent research harness: it decomposes a question into search angles, fans out parallel web searches, fetches and extracts falsifiable claims from sources, **adversarially verifies** every claim with a 3-vote skeptic panel, and synthesizes a cited report. The workflow lives in [`deep-research.workflow.js`](deep-research.workflow.js) next to this file. It is the **single source of truth** for the harness — edit it there, then (if you keep a repo copy) run `bash install.sh` to redeploy. ## Usage ``` /deep-research <your research question> ``` ## How to run it 1. **Scope-check first.** If the question is underspecified (missing budget, region, use-case, timeframe, etc.), ask the user **2-3 clarifying questions** before running. Then fold the answers into a single refined question string. 2. **Invoke the workflow** via the Workflow tool, pointing `scriptPath` at the workflow file in this skill's directory and passing the refined question as `args`: ``` Workflow({ scriptPath: "~/.claude/skills/deep-research/deep-research.workflow.js", // expand ~ to $HOME args: "<the refined research question>" }) ``` Pass the question as a plain string in `args` (not JSON-encoded). The workflow reads it via the global `args`. This skill's instruction to call Workflow is itself the explicit opt-in for multi-agent orchestration. 3. **Relay the result.** The workflow returns `{ summary, findings, refuted, unverified, so...