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Agent skills

How do I govern agent skills and capabilities centrally?

Govern agent skills and capabilities centrally by keeping approved procedures in a controlled source, reviewing them before packaging, installing them for defined teams or workflows, and checking their behavior through operational evidence. Bewize supports internal skill packs and flavors; it does not position an open third-party marketplace as a shipped capability.

Review skills Review Hermes Hub

A central governance loop

Make capability distribution repeatable and reviewable.

Curate

Keep approved procedures, prompts, and runbooks in a governed source.

Package and install

Create internal skill packs or flavors for the teams and workflows that need them.

Review and improve

Use run evidence, policy boundaries, and periodic review to refine installed capabilities.

Skill governance references

Central agent skill governance FAQ

Does central skill governance mean every tenant gets every skill?
No. Skill packs should be installed for defined teams, tenants, or workflows and reviewed against their policy and operational needs.
Is Bewize an open AI agent marketplace?
No. Internal flavors and skill packs are supported; open third-party publishing remains roadmap language unless separately documented.
What evidence should guide skill improvements?
Use run history, policy behavior, access state, evaluation evidence, and other source-backed operational signals rather than invented outcome metrics.

Govern agent capabilities

Discuss approved skill packs, installation scope, policy, review, and operational evidence.

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Architecture conversation

Tell us what your team needs to control

Share your deployment boundary, number of agents, work surfaces, and governance requirements. We will reply by email to arrange a focused technical discussion.

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