Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/fcakyon/claude-codex-settings/azure-usagenpx skills add fcakyon/claude-codex-settings --skill azure-usagegit clone --depth 1 https://github.com/fcakyon/claude-codex-settingsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/fcakyon/claude-codex-settings/azure-usage)<a href="https://agentmods.dev/skills/fcakyon/claude-codex-settings/azure-usage"><img src="https://agentmods.dev/badge/skills/fcakyon/claude-codex-settings/azure-usage.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00053 | $0.00438 |
| Opus 5 | $0.00026 | $0.00219 |
| Sonnet 5 | $0.00011 | $0.00088 |
| Haiku 4.5 | $0.00005 | $0.00044 |
Grade A, and why
azure-usage scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Azure MCP Best Practices
Tool Selection
| Task | Tool | Example |
|---|---|---|
| List resources | mcp__azure__*_list |
Storage accounts, Key Vault secrets |
| Get resource details | mcp__azure__*_get |
Container details, database info |
| Create resources | mcp__azure__*_create |
New secrets, storage containers |
| Query data | mcp__azure__*_query |
Log Analytics, Cosmos DB |
Common Operations
Storage
storage_accounts_list- List storage accountsstorage_blobs_list- List blobs in containerstorage_blobs_upload- Upload file to blob
Key Vault
keyvault_secrets_list- List secretskeyvault_secrets_get- Get secret valuekeyvault_secrets_set- Create/update secret
Cosmos DB
cosmosdb_databases_list- List databasescosmosdb_containers_list- List containerscosmosdb_query- Query documents
AKS
aks_clusters_list- List AKS clustersaks_nodepools_list- List node pools
Monitor
monitor_logs_query- Query Log Analytics
Authentication
Azure MCP uses Azure Identity SDK. Authenticate via:
az login(Azure CLI - recommended)- VS Code Azure extension
- Environment variables (service principal)
Reference
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago First seen · 58 lines · 53 tokens per session scan A e7cbe879b609
azure-usage is a skill published in the GitHub repository fcakyon/claude-codex-settings (1,125 stars, last pushed today), licensed Apache-2.0. It adds 53 tokens to every session and 438 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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