Not an Amazon-style catalog or marketplace. ctx is a recommendation layer: bring your org tools or use the shipped gr...
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 71/100. 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 ctx 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/stevesolun/ctxRun this first. You will know quickly if the workflow earns a permanent slot.
# No automated removal — visit https://github.com/stevesolun/ctxNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ ├─ agents/ │ └─ ctx/ ← installs here └─ settings.json
Not an Amazon-style catalog or marketplace. ctx is a recommendation layer: bring your org tools or use the shipped graph to load the right skills, agents, MCPs, and harnesses only for the current dev window, cutting token bills and local compute waste: 79,958-node LLM-wiki graph, 68,494 skills, 467 agents, 10,790 MCPs, 207 harnesses.
Source: GitHub repository
Source check: July 18, 2026
Upstream commit: July 17, 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.