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Deep research harness — fan-out web searches, fetch sources, adversarially verify claims, synthesize a cited report.
Passed 8 of 15 test cases with the skill, and 5 of 15 without it.
and 4 more in the full report
7 fixed5 passed either way7 still failing3 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
During the source extraction phase of the research harness after deduplicating URLs, what is the maximum number of top sources to fetch for claim extraction?
| Checked | Without skill | With skill |
|---|---|---|
| Fetches top 15 sources | Missed | Passed |
The instructions your model reads when the skill loads.
Run the "deep-research" workflow.
Deep research harness — fan-out web searches, fetch sources, adversarially verify claims, synthesize a cited report.
When the user wants a deep, multi-source, fact-checked research report on any topic. BEFORE invoking, check if the question is specific enough to research directly — if underspecified (e.g., "what car to buy" without budget/use-case/region), ask 2-3 clarifying questions to narrow scope. Then pass the refined question as args, weaving the answers in.
Phases:
Invoke: Workflow({ name: "deep-research" })
scripts/workflow-script.js
test cases passed, vs 5 / 15 without
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