Agent skill · research science · sickn33
go-in-depth
Go in depth harness — fan-out web searches, fetch sources, adversarially verify claims, synthesize a cited report.
Why this skill is useful
Adds a detailed multi-agent workflow for conducting thorough research and fact-checking that the AI cannot generate on its own.
What it needs
Requires node installed locally. About 1k tokens when loaded. Last updated 2026-08-07. 44,571 stars on the source repository.
What this skill does
Go In Depth Overview Go in depth harness — fan-out web searches, fetch sources, adversarially verify claims, synthesize a cited report. Run the "go-in-depth" workflow. When to Use 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. How It Works Phases: Scope: Decompose question (from args) into 5 search angles Search: 5 parallel WebSearch agents, one per angle Fetch: URL-dedup, fetch top 15 sources, extract falsifiable claims Verify: 3-vote adversarial verification per claim (need 2/3 refutes to kill) Synthesize: Merge semantic dupes, rank by confidence, cite sources Examples Example 1: Run go-in-depth workflow Example 2: Research with refined question Example 3: Deep dive into a technical concept Example 4: Fact-checking a medical claim Workflow Script scripts/workflow-script.js Limitations Slow execution: Multi-agent searches, fetching, and 3-vote verification take significant time. Not for quick facts. Context intensive: Analyzing 15 full sources uses large context limits. Synthesis risks: May struggle if source material is weak or equally conflicting.
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills sickn33/go-in-depth--3ec503