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feat: add agent-governance skill

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Add governance patterns and techniques for AI agent systems:
- Policy definition with allowlists, blocklists, and content filters
- Semantic intent classification for threat detection
- Tool-level governance decorator pattern
- Trust scoring with temporal decay for multi-agent systems
- Append-only audit trail design
- Framework integration examples (PydanticAI, CrewAI, OpenAI Agents)

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Imran Siddique
2026-02-18 13:28:25 -08:00
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commit dcfae78fa4
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docs/README.skills.md
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@@ -22,6 +22,7 @@ Skills differ from other primitives by supporting bundled assets (scripts, code
| Name | Description | Bundled Assets |
| ---- | ----------- | -------------- |
| [agent-governance](../skills/agent-governance/SKILL.md) | Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when:<br />- Building AI agents that call external tools (APIs, databases, file systems)<br />- Implementing policy-based access controls for agent tool usage<br />- Adding semantic intent classification to detect dangerous prompts<br />- Creating trust scoring systems for multi-agent workflows<br />- Building audit trails for agent actions and decisions<br />- Enforcing rate limits, content filters, or tool restrictions on agents<br />- Working with any agent framework (PydanticAI, CrewAI, OpenAI Agents, LangChain, AutoGen) | None |
| [agentic-eval](../skills/agentic-eval/SKILL.md) | Patterns and techniques for evaluating and improving AI agent outputs. Use this skill when:<br />- Implementing self-critique and reflection loops<br />- Building evaluator-optimizer pipelines for quality-critical generation<br />- Creating test-driven code refinement workflows<br />- Designing rubric-based or LLM-as-judge evaluation systems<br />- Adding iterative improvement to agent outputs (code, reports, analysis)<br />- Measuring and improving agent response quality | None |
| [appinsights-instrumentation](../skills/appinsights-instrumentation/SKILL.md) | Instrument a webapp to send useful telemetry data to Azure App Insights | `LICENSE.txt`<br />`examples/appinsights.bicep`<br />`references/ASPNETCORE.md`<br />`references/AUTO.md`<br />`references/NODEJS.md`<br />`references/PYTHON.md`<br />`scripts/appinsights.ps1` |
| [aspire](../skills/aspire/SKILL.md) | Aspire skill covering the Aspire CLI, AppHost orchestration, service discovery, integrations, MCP server, VS Code extension, Dev Containers, GitHub Codespaces, templates, dashboard, and deployment. Use when the user asks to create, run, debug, configure, deploy, or troubleshoot an Aspire distributed application. | `references/architecture.md`<br />`references/cli-reference.md`<br />`references/dashboard.md`<br />`references/deployment.md`<br />`references/integrations-catalog.md`<br />`references/mcp-server.md`<br />`references/polyglot-apis.md`<br />`references/testing.md`<br />`references/troubleshooting.md` |