Claude Code plugin · Multi-agent deep research

Plausible
isn't proof.

Give it one question and several agents research web and academic sources in parallel, then write it up as a cited report. Every source gets an A–E grade, and any claim not confirmed by two or more sources goes to the appendix instead of the body.

/plugin marketplace add https://github.com/fivetaku/gptaku_plugins.git
/plugin install insane-research@gptaku-plugins
Paper slips on violet threads pass through a sieve into a tall verified stack and a small annex tray
8agents
109sources
42 / 32body / annex

Real numbers from the sample report below.

From one question to a report

A replay of a real research session (2026-08-23).

Code does the checking

Every claim is logged with its sources, and validate_ledger.py checks that ledger. If it fails, the report isn't written. A model saying "verified" is not enough.

Sample report

Real output

Claude Code multi-session app bundle IDs
and Windows notifications

The report we actually used to build our notification plugin, published unedited (in Korean).

Read the original →

To be fair

If you just need a quick overview, ChatGPT or Gemini deep research is easier. insane-research asks a few scoping questions and takes longer. Use it for decisions where being wrong is expensive: technology choices, implementation evidence, numbers.

For decisions
you can't afford to get wrong.

/plugin marketplace add https://github.com/fivetaku/gptaku_plugins.git
/plugin install insane-research@gptaku-plugins