Local-first research-agent workflows for defensible formal research outputs, with source-first gates, bounded routing...
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 57/100. no security policy. Fresh enough repo health and manageable issue load keep the risk controlled.
AI Agent
Codex
Model
Multiple
Fastest way to find out if research-agent-starter-kit 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/JonasLee12/research-agent-starter-kitRun this first. You will know quickly if the workflow earns a permanent slot.
# No automated removal — visit https://github.com/JonasLee12/research-agent-starter-kitNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ ├─ agents/ │ └─ research-agent-starter-kit/ ← installs here └─ settings.json
Local-first research-agent workflows for defensible formal research outputs, with source-first gates, bounded routing, skill receipts, and delivery guards.
Source: GitHub repository
Source check: No source check recorded
Upstream commit: June 23, 2026
Repository state: Not marked archived
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