Unified research methodology for AI agents combining ICD 203, GRADE, PRISMA, Cochrane, and five other frameworks into...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Still active enough to matter. Good candidate for a fast stack test instead of a long evaluation loop.
Copy the install, test the workflow, then decide if it earns a permanent slot.
Not hard to test, not trivial to unwind. Worth trying if it closes a sharp gap.
GitHub health 87/100. no security policy. Fresh enough repo health and manageable issue load keep the risk controlled.
AI Agent
Claude Code
Model
Claude
Fastest way to find out if ai-research-methodology belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
# Visit: https://github.com/wphillipmoore/ai-research-methodologyRun this first. You will know quickly if the workflow earns a permanent slot.
# No automated removal — visit https://github.com/wphillipmoore/ai-research-methodologyNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ ├─ agents/ │ └─ ai-research-methodology/ ← installs here └─ settings.json
Unified research methodology for AI agents combining ICD 203, GRADE, PRISMA, Cochrane, and five other frameworks into a 14-step evidence-based process. Anti-sycophantic by design. Implemented as a Claude Code skill with claim and query modes.
Source: GitHub repository
Source check: July 18, 2026
Upstream commit: May 27, 2026
Repository state: Not marked archived
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