Expert knowledge for Azure Confidential Ledger development including troubleshooting, decision making, security, integrations & coding patterns, and deployment. Use when configuring Entra ID auth, MST payloads, Cosmos DB/Blob integrations, ACL Explorer, or ARM/Terraform deployment, and other Azure Confidential Ledger related development tasks. Not for Azure Confidential Computing (use azure-confidential-computing), Azure Virtual Enclaves (use azure-virtual-enclaves), Azure Key Vault (use azure-key-vault), Azure Database for PostgreSQL (use azure-database-postgresql).
v1.0Latest
New~1.6kUpdated Jun 26, 2026
Azure Confidential Ledger Skill
This skill provides expert guidance for Azure Confidential Ledger. Covers troubleshooting, decision making, security, integrations & coding patterns, and deployment. It combines local quick-reference content with remote documentation fetching capabilities.
How to Use This Skill
IMPORTANT for Agent: Use the Category Index below to locate relevant sections. For categories with line ranges (e.g., L35-L120), use read_file with the specified lines. For categories with file links (e.g., [security.md](security.md)), use read_file on the linked reference file
IMPORTANT for Agent: If metadata.generated_at is more than 3 months old, suggest the user pull the latest version from the repository. If mcp_microsoftdocs tools are not available, suggest the user install it: Installation Guide
This skill requires network access to fetch documentation content:
Preferred: Use mcp_microsoftdocs:microsoft_docs_fetch with query string from=learn-agent-skill. Returns Markdown.
Fallback: Use fetch_webpage with query string from=learn-agent-skill&accept=text/markdown. Returns Markdown.
Category Index
Category
Lines
Description
Troubleshooting
L33-L38
Diagnosing and resolving Microsoft Signing Transparency (MST) ledger verification issues, plus steps to verify ledger integrity and inspect individual ledger entries.
Decision Making
L39-L44
Choosing between ACL Explorer tools for viewing/querying ledgers, and guidance on migrating applications and data from Managed CCF to Azure Confidential Ledger
Security
L45-L57
Securing Confidential Ledger: Entra ID setup, app registration, auth (tokens/certs), RBAC and roles, node attestation/quote verification, and security best practices.
Integrations & Coding Patterns
L58-L67
Patterns and examples for integrating ACL with Blob Storage, Power Automate, Cosmos DB, organizing ledger data, designing MST payloads/claims, and writing JavaScript user-defined functions.
Deployment
L68-L72
How to deploy and provision Azure Confidential Ledger instances using ARM templates or Terraform, including required parameters and configuration steps.
This skill provides structured guidance for Azure Confidential Ledger development, covering troubleshooting, security, integrations, and deployment. It functions as a reference index that directs agents to fetch documentation from Microsoft Learn using specialized tools, with clear category organization and scoped network access.
Network access to learn.microsoft.com for documentation fetching
Skill description, 'Preferred' and 'Fallback' tool sections
Referenced Domains
External domains referenced in skill content, detected by static analysis.
github.comlearn.microsoft.com
Use Cases
Configure Entra ID authentication for Confidential Ledger applications
Troubleshoot Microsoft Signing Transparency (MST) ledger verification failures
Design and deploy MST payloads with auditing workflows
Integrate Confidential Ledger with Blob Storage, Cosmos DB, or Power Automate
Set up RBAC and certificate-based authentication in Confidential Ledger
Deploy Confidential Ledger instances using ARM templates or Terraform
Migrate applications from Managed CCF to Azure Confidential Ledger
Quality Notes
Excellent category-driven index structure (Troubleshooting, Decision Making, Security, Integrations & Coding Patterns, Deployment) with URL references to authoritative Microsoft Learn documentation
Clear instructions for agents on tool usage preferences (mcp_microsoftdocs:microsoft_docs_fetch with fallback to fetch_webpage)
Helpful metadata check for outdated content (3-month staleness warning)
Strong scope boundaries: explicitly excludes related services (Azure Confidential Computing, Virtual Enclaves, Key Vault, PostgreSQL) to prevent agent confusion
Reference table structure is scannable and well-organized with topic descriptions
Implicit versioning via metadata.generated_at aids content currency tracking
Well-scoped network access: documentation fetching only, no write operations or credential handling
No supporting reference files (security.md, etc.) referenced in instructions, but this is acceptable as the skill delegates to remote documentation
Model: claude-haiku-4-5-20251001Analyzed: Jun 26, 2026
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