Evaluate access requests against stored policies using actor, resource, and action inputs.
npx skills add https://github.com/copilot-ld/copilot-ld --skill libpolicy
Please help me install this Agent Skill. Skill: libpolicy Source: https://github.com/copilot-ld/copilot-ld/tree/main/packages/libpolicy Command: npx skills add https://github.com/copilot-ld/copilot-ld --skill libpolicy
Policy-based access control for software systems requires reliable, pluggable evaluation of authorization decisions against stored policies.
Load policies from storage and evaluate an access request by providing an actor, a resource, and an action to receive a true/false decision.
High-intent search queries and answers about installing and using this skill.
To evaluate access requests against stored policies, you provide an actor, resource, and action triplet to the PolicyIndex. The system loads the policies from storage and returns a boolean indicating whether access is allowed.
Policy-driven access control is a mechanism that reliably evaluates authorization decisions against stored policies. You need it when software systems require pluggable, instant true/false access decisions for multi-tenant resource scenarios.
Yes, this policy evaluation approach supports both RBAC and ABAC by working with actor, resource, and action triplets. It determines access by loading these inputs from storage to prepare the evaluation context.
You load policies from storage and prepare the evaluation context by using the PolicyIndex feature. It stores the policies and handles the loading process to evaluate incoming access requests effectively.
You can achieve instant policy decisions in multi-tenant environments by evaluating actor, resource, and action inputs against stored policies. The system loads these policies via PolicyIndex to return a boolean access decision.
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