intersystems-ready-hackathon/ready-2026-team-08/ai-hub-policies
Claude Code and agent skill by intersystems-ready-hackathon/ready-2026-team-08
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Checking that the SKILL.md file is still in the repository.
Use when attaching authorization, audit, or discovery policies to ObjectScript tools or ToolSets, sanitizing arguments, enforcing read-only access, or tracing tool execution and denials.
Install
npx vskill@latest install intersystems-ready-hackathon/ready-2026-team-08/ai-hub-policiesSKILL.md
AI Hub Policies
Use this skill for governance over tool execution: allow or deny, sanitize, audit, and compose global or ToolSet-local policies.
When to Use
- Enforcing read-only or restricted-path behavior
- Logging tool calls, errors, or durations
- Attaching global policies to a
ToolManager - Defining ToolSet-local policies in XML
Core Workflow
- Decide whether the policy is authorization, audit, or discovery-related.
- Implement the right base class method.
- Attach the policy globally or within a ToolSet.
- Validate the policy against the exact tools and arguments it should govern.
- Compose global and ToolSet-local rules only when the layering is intentional.
Critical Rules
- Use
%AI.Policy.Authorizationfor allow or deny decisions and argument sanitization. - Use
%AI.Policy.Auditfor logging and telemetry. - Use ToolSet-local policies for collection-specific rules and
ToolManagerpolicies for global rules. - Authorization policies run global first and ToolSet second; both must allow.
- Audit policies run at both levels when present.
- ToolSet-local XML-configured policies require the XML-enabled pattern from the advanced guide.
Common Mistakes
- Treating global and ToolSet-local policies as interchangeable
- Forgetting
%XML.Adaptorand XML property projection for ToolSet-local policy configuration - Modifying arguments without validating the downstream tool still accepts the sanitized form
- Adding audit policies without deciding what success, failure, and result size should mean operationally
References
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/ai-hub-policies/SKILL.md
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