agent-governancePatterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call external t...
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clawdbot install boleyn/agent-governanceGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/imran-siddique/agent-osAudited Apr 17, 2026 · audit v1.0
Generated Mar 20, 2026
An AI agent in a banking institution processes customer data and executes transactions. The agent-governance skill ensures it only accesses approved databases, blocks patterns containing sensitive information like account numbers, and logs all actions for regulatory audits. It enforces rate limits to prevent abuse and requires human approval for large transfers.
A healthcare provider uses AI agents to query patient records and generate reports. Governance policies restrict tools to read-only access for patient data, block patterns that could leak PHI, and enforce strict audit trails for HIPAA compliance. Intent classification detects attempts to export or modify sensitive health information.
An e-commerce platform deploys AI agents to handle customer inquiries and process returns. The skill applies policies to allow only specific APIs for order lookup and email sending, blocks tools that could modify payment systems, and uses semantic intent to flag suspicious requests like refund fraud or data scraping.
A DevOps team uses AI agents to manage cloud resources and deployments. Governance enforces policies that block dangerous tools like shell_exec, require approval for production changes, and log all actions for security audits. Rate limits prevent accidental resource exhaustion from automated workflows.
A law firm employs AI agents to analyze contracts and legal documents. The skill implements access controls to limit tool usage to document reading and summarization, blocks patterns that might expose confidential client data, and creates audit trails for accountability in sensitive legal proceedings.
Offer a cloud-based service where companies can configure and manage governance policies for their AI agents via a web interface. Revenue comes from subscription tiers based on the number of agents, policy complexity, and audit log storage. This model targets enterprises needing scalable, compliant agent deployments.
Provide expert services to help organizations implement agent-governance patterns tailored to their specific needs, such as custom policy development, threat detection tuning, and framework integration. Revenue is generated through project-based contracts and ongoing support retainers for high-compliance industries.
Release the core governance patterns as open-source software to build community adoption, then monetize with premium features like advanced analytics, enterprise-grade audit tools, and dedicated support. Revenue streams include licensing for proprietary extensions and paid support plans for large deployments.
💬 Integration Tip
Start by defining a base policy in YAML for easy configuration, then layer agent-specific rules using the composition pattern to avoid duplication and ensure consistency across deployments.
Scored Apr 19, 2026
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