New: Security scores powered by Snyk

Skills are the new code. Treat them that way.

Tessl enables dev teams to continuously build, test, distribute and optimize  agent skills, with the security & governance of enterprise software.

Request a demo Get started free

Used by agentic developers at

Three questions every AI-native team has to answer.

Tessl is the management layer that turns risky, sprawling, invisible skills into a governed, measurable system.

Security & Governance

If a risky skill ran in your environment, would you know?

Security scan, policy gating, and audit logs for every skill, before it causes a problem.

Standardization & Reuse

How much are duplicate, outdated skills costing your team?

A shared registry, version management, and contribution governance, so good work travels instead of duplicating.

Continuous Optimization

Your agents have the skills. But are they actually using them?

Observe and improve team-wide skill performance, with three layers of visibility and eval-backed improvements.

"We have tens of thousands of engineers using AI tools daily who need support to shift from prompting to context engineering. I believe Tessl's approach to measure, package, and distribute that context automatically is the solution that can unlock agent productivity."

John Groetzinger

Principal Engineer

"The evaluation capability is a big one. It’s hard to build something like that without a centralized system like Tessl. I don’t think we’d realistically create that on our own, so having that constant check on our work is incredibly valuable."

Paul Thrasher

Director of Product, AI

BENEFIT

Security, visibility, and governance. Built into the skills layer.

AI agents run skills with the same access your developers have, yet most are installed with no tracking, awareness or constraint. Tessl is the control plane that governs what's running and keeps it secure.

Security-scanned and scored skills before installation. Not a forensics problem after the fact.
Full skill inventory and audit logs. Always know what your agents are running.
Encode your security standards once as a skill. Tessl enforces them automatically, across every team.

See enterprise security features

BENEFIT

Scale agent adoption without the skill sprawl.

Generating skills is easy. Managing them isn't. As teams experiment, skill libraries quickly fill with duplicates, outdated versions and AI slop. Tessl turns that chaos into a shared, governed asset.

Stop rebuilding what exists. 3,000+ searchable skills plus your private workspace.
Treat skills like software. Versioned, evaluated, and security-checked before they reach developers.
Scale without losing control. Mandate org standards, define ownership, and back every change with evals.

Book a demo

BENEFIT

Stop flying blind on skill performance.

A skill can be published, installed, and still never fire when an agent needs it. Most teams only measure the first layer. Tessl surfaces all three, so you know the difference between "installed" and "used."

Three layers of visibility: published, project coverage, and real activation on developer machines.
Go from gut feel to root cause. Surface the exact scenario and input that caused the failure.
Evals are to skills what unit tests are to code. Know before you ship whether you made it better or worse.

Book a demo

Built for how enterprise teams actually adopt AI agents.

Three places enterprise rollouts get stuck. Tessl works in all of them.

For security leaders

Securing the skill supply chain.

Your CISO wants a full inventory of what skills are running, who approved them, and proof that security standards are enforced. You have none of this. 

Secure your skills with Tessl

For platform teams

Scaling a developer-led rollout.

Your developers started experimenting. It worked. Now you have hundreds of skills, dozens of duplicates, and no one knows which version to use. 

For engineering leadership

Proving the impact of skills.

Leadership is asking what the AI investment is delivering. You have adoption numbers but no data on whether skills are actually activating or improving agent output.

The management layer your agent stack is missing.

Tessl sits between your developers and the AI agents they use. It's how you go from individuals experimenting in isolation to an org-wide system that's governed, measurable, and continuously improving.

Measure and improve.

Track skill adoption from registry to real activation. Run evals to find what's not working, ship improvements with before/after evidence, and prove the impact.

Govern and secure.

Set install policies, mandate org-standard skills automatically, scan every skill for security issues, and define ownership and access controls across teams and projects.

Connect and publish.

Integrate with the agents your developers already use - Claude Code, Cursor, Copilot, Gemini and others. Publish skills to a searchable, versioned registry, org-scoped or public.

Measure and improve.

Track skill adoption from registry to real activation. Run evals to find what's not working, ship improvements with before/after evidence, and prove the impact.

Govern and secure.

Set install policies, mandate org-standard skills automatically, scan every skill for security issues, and define ownership and access controls across teams and projects.

Connect and publish.

Integrate with the agents your developers already use - Claude Code, Cursor, Copilot, Gemini and others. Publish skills to a searchable, versioned registry, org-scoped or public.