brightbear2026/research-agent

Evidence-driven deep research agent for Claude Code and Codex/ChatGPT Work, with schema v2, claim-ledger audits, safe screenshots, and strict QC.

This repository also configures its own agents. See what research-agent tells them →

2Stars on the repository
8Mods indexed here, across every type
2mo agoLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

deep-research

01

brightbear2026/research-agent

Skill Claude Code

A six-stage workflow for researching a topic and producing Markdown and HTML reports with a supporting evidence table. It covers research, source checking, outlining, chapter work, editing, screenshots, and quality checks.

not rated 2 2mo ago A 64 tokens original MIT

deep-research-work

02

brightbear2026/research-agent

Skill Codex

Execute evidence-backed six-phase research in this repository and deliver Markdown, HTML, evidence matrices, data tables, screenshots, and disclosed research gaps. Use when the user requests a deep research report, a research plan, or an autonomous research run with regular, plan, or execution mode in ChatGPT Work or…

not rated 2 2mo ago A 68 tokens original MIT

deep-research

03

brightbear2026/research-agent

Skill Claude CodeCodex

Use when user requests systematic deep research on a topic. Six-phase pipeline (survey → evidence → outline → chapter research → assembly+editing → delivery) producing Markdown+HTML dual-format reports with evidence matrices. Enforces no-fabrication red lines, source tiering, claim-ledger audits, workflow modes, and…

not rated 2 2mo ago A 80 tokens original MIT