OrchestKit scored 83/100 on ORA — what "agent-readiness" actually measures
I ran OrchestKit — my open-source Claude Code toolkit — through ORA, an independent audit that scores how agent-ready a product is: how easily an AI agent can discover you, identify itself, authenticate, and actually get
I ran OrchestKit — my open-source Claude Code toolkit — through ORA, an independent audit that scores how agent-ready a product is: how easily an AI agent can discover you, identify itself, authenticate, and actually get work done against your surface.
Result: 83/100, Grade B ("Competitive"), ranked #49 of 12,200.
The breakdown
| Layer | Score | |
|---|---|---|
| Auth & Access | 28/30 | 🟢 Strong |
| Agent Integration | 18/20 | 🟢 Strong |
| Identity | 18/20 | 🟢 Strong |
| User Experience | 10/10 | 🟢 Perfect |
| Discovery | 9/20 | 🟠 Partial |
What I take from it
The foundation is strong: an agent can identify, connect, and use OrchestKit with near-zero friction — exactly what an agent-native toolkit should be.
The one hole is Discovery — presence, not product. The thing is ready; it just needs more people (and agents) to know it exists. Honestly the most fun problem to have, and it's the next focus.
Solo-built. Open-source. Independently verified.
Originally published by Dev.to AI. Aggregated on AIWithGhost for educational purposes — full credit and traffic to the original publisher.