AI Native Developer Tools - Control Plane for Agents

What counts as a skill in Tessl, and how does version management work?

Tessl treats skills as discrete, versioned units in a shared registry that development teams can build on and reuse. The platform tracks versions so teams can update skills without breaking existing deployments, and the registry creates a single source of truth for what skills exist across the organization.

Does Tessl scan skills before or after deployment?

Tessl scans and gates skills before they reach production. Security scanning happens upfront with policy gating, which means risky skills are caught at the registry level rather than discovered later through forensics or incident response.

What audit visibility does Tessl provide for skill usage and changes?

Tessl maintains a full audit log and skill inventory, giving teams three layers of visibility into how skills are used across the organization. This covers who deployed what, when changes happened, and how often skills are called, which supports both compliance needs and performance optimization.

Can Tessl enforce the same security standards across multiple development teams automatically?

Yes. Tessl automatically enforces security standards across every team through policy gating at the skills layer, so teams cannot work around governance rules by using different deployment paths. This prevents the fragmented security posture that usually comes with distributed AI agent development.