SkCC: Portable and Secure Skill Compilation for Cross-Framework LLM Agents
Paper • 2605.03353 • Published • 7 •
4
Travis Muhlestein PRO
TravisMuhlestein
AI & ML interests
Product & AI CTO at GoDaddy focused on AI infrastructure, orchestration, agent systems, observability, and enterprise-scale AI deployment
Recent Activity
posted an update about 19 hours ago
One thing that stands out to me about efforts like DNS-AID and ANS is a simple architectural principle:
We didn't reinvent the internet. We extended it.
A lot of discussion around agent ecosystems focuses on models, orchestration frameworks, and capabilities. But once agents begin operating across platforms and organizational boundaries, a different set of questions emerges:
• How are agents discovered?
• How is identity established?
• How is trust verified?
• How are capabilities described in a machine-readable way?
DNS-AID and ANS approach different parts of the same problem space using infrastructure that already exists and operates at internet scale.
• Identity standards help establish trust
• Discovery standards help locate capabilities and services
One thing I'm increasingly convinced of: we have model cards, but we still lack broadly adopted capability manifests for agents.
As agent ecosystems evolve, open standards around discovery, identity, trust, and capability description may become just as important as the models themselves.
Curious what builders here think: what's the biggest missing standard today for truly interoperable agent systems? repliedto salma-remyx's post 1 day ago
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Longer write-up tomorrow on Substack — more detail on the spec-bundle format, the selection-pass design, and what we learned testing across dozens of repos.Organizations
