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.
Last commit May 27, 2026, 168 days ago.
6 GitHub stars and 0 Honeystax upvotes. Copy the install, test the workflow, then decide if it earns a permanent slot.
You can test this quickly and remove it cleanly if it misses.
Starts at 6. Added: last commit 168 days ago +14, 64 open issues +7, no security policy +8.
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.
git clone https://github.com/wphillipmoore/ai-research-methodology ~/.claude/skills/ai-research-methodologyRun this first. You will know quickly if the workflow earns a permanent slot.
rm -rf ~/.claude/skills/ai-research-methodologyNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ ├─ skills/ │ └─ ai-research-methodology/ ← installs here ├─ agents/ └─ settings.json
ai-research-methodology is listed on Honeystax as a Skill for Claude Code, since May 9, 2026. Its code is at github.com/wphillipmoore/ai-research-methodology, with 6 GitHub stars and 64 open issues. Last commit May 27, 2026, 168 days ago. GitHub's community health check gives it 87 out of 100.
Source: GitHub repository
Source check: July 18, 2026
Upstream commit: May 27, 2026
Repository state: Not marked archived
Honeystax upvotes are community interest signals, not star ratings. GitHub stars and repository health are source measurements; editorial risk and trial-cost notes are Honeystax analysis.