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 Publishing Workflow
Guides a capability through intake, package review, evidence, validation, Trust Summary, pricing, and preview as a checklist that stops for the publisher's approval before any change or publication.
View capabilityPermission and Data-Access Reviewer
Reviews declared and statically observable permission and data-access signals while redacting suspected secret values.
View capabilityPublisher Listing Coach
Reviews publisher-provided listing content and suggests clearer buyer-facing explanations without adding unsupported claims.
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.