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.
Fresh repo activity plus visible builder pull. This is the kind of tool people test before it turns obvious.
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 unknown. no security policy. 63 open issues make this testable, but not something to trust blind.
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.