AI capability trust
Understand an AI capability before granting access
Translate permissions, runtime needs, network access, and limitations into a decision a buyer can actually make.
The problem
Capability listings often name tools or permissions without explaining why they are needed, what data they touch, or what happens when a dependency is unavailable.
Who this is for
- • Teams evaluating AI skills and agents
- • Security and procurement reviewers
- • Publishers preparing buyer-facing trust documentation
A practical approach
Map access
Connect every permission to a specific buyer outcome and data boundary.
Check fit
Compare prerequisites, supported environments, and known limitations with the intended workflow.
Review evidence
Separate publisher claims from independently reviewed or runtime-observed evidence.
Publisher declarations are useful context, but they are not the same as independently reproduced evidence or observed runtime behavior.
Related marketplace capabilities
Capability Launch Team
Coordinates readiness, evidence, listing, and release reviewers into one human-gated capability launch packet.
View capabilityCapability Publishing Workflow
Guides a capability through intake, package review, evidence, validation, Trust Summary, pricing, preview, and human publication gates.
View capabilityPermission and Data-Access Reviewer
Reviews declared and statically observable permission and data-access signals while redacting suspected secret values.
View capabilityCommon questions
What is a trustworthy permission explanation?
It says what is accessed, why it is needed, when access occurs, and what the capability cannot do.
Is documentation enough for validation?
Documentation supports a decision, but higher-confidence claims should be backed by independently reviewed evidence or controlled runtime tests.