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 skills add lucaspmarie-a11y/claude-skills-vault --skill azure-cosmos-db-pygit clone --depth 1 https://github.com/lucaspmarie-a11y/claude-skills-vaultWrote 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/lucaspmarie-a11y/claude-skills-vault/azure-cosmos-db-py)<a href="https://agentmods.dev/skills/lucaspmarie-a11y/claude-skills-vault/azure-cosmos-db-py"><img src="https://agentmods.dev/badge/skills/lucaspmarie-a11y/claude-skills-vault/azure-cosmos-db-py/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/lucaspmarie-a11y/claude-skills-vault/azure-cosmos-db-py"><img src="https://agentmods.dev/badge/skills/lucaspmarie-a11y/claude-skills-vault/azure-cosmos-db-py.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00029 | $0.01683 |
| Opus 5.5 | $0.00012 | $0.00673 |
| Sonnet 5.5 | $0.00006 | $0.00337 |
| Haiku 4.5 | $0.00003 | $0.00168 |
Grade A, and why
azure-cosmos-db-py 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 1mo 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.
This is a copy
91% identical to azure-cosmos-db-py — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 245 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cosmos DB Service Implementation
Build production-grade Azure Cosmos DB NoSQL services following clean code, security best practices, and TDD principles.
Installation
pip install azure-cosmos azure-identity
Environment Variables
COSMOS_ENDPOINT=https://<account>.documents.azure.com:443/
COSMOS_DATABASE_NAME=<database-name>
COSMOS_CONTAINER_ID=<container-id>
# For emulator only (not production)
COSMOS_KEY=<emulator-key>
Authentication
DefaultAzureCredential (preferred):
from azure.cosmos import CosmosClient
from azure.identity import DefaultAzureCredential
client = CosmosClient(
url=os.environ["COSMOS_ENDPOINT"],
credential=DefaultAzureCredential()
)
Emulator (local development):
from azure.cosmos import CosmosClient
client = CosmosClient(
url="https://localhost:8081",
credential=os.environ["COSMOS_KEY"],
connection_verify=False
)
Architecture Overview
┌─────────────────────────────────────────────────────────────────┐
│ FastAPI Router │
│ - Auth dependencies (get_current_user, get_current_user_required)
│ - HTTP error responses (HTTPException) │
└──────────────────────────────┬──────────────────────────────────┘
│
┌──────────────────────────────▼──────────────────────────────────┐
│ Service Layer │
│ - Business logic and validation │
│ - Document ↔ Model conversion │
│ - Graceful degradation when Cosmos unavailable │
└──────────────────────────────┬──────────────────────────────────┘
│
┌──────────────────────────────▼──────────────────────────────────┐
│ Cosmos DB Client Module │
│ - Singleton container initialization │
│ - Dual auth: DefaultAzureCredential (Azure) / Key (emulator) │
│ - Async wrapper via run_in_threadpool │
└─────────────────────────────────────────────────────────────────┘
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.
- 1mo ago First seen · 245 lines · 29 tokens per session scan A 8299d7ff333e
azure-cosmos-db-py is a skill published in the GitHub repository lucaspmarie-a11y/claude-skills-vault (5 stars, last pushed 4mo ago), licensed MIT. It adds 29 tokens to every session and 1,683 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 91% identical to azure-cosmos-db-py, differing in 4 lines, and is treated as a copy.
Other skills, from other repositories
qdrant-clients-sdk
Qdrant provides client SDKs for various programming languages, allowing easy integration with Qdrant deployments.
azure-cosmos-db-py
Build Azure Cosmos DB NoSQL services with Python/FastAPI following production-grade patterns. Use when implementing database client setup with dual auth (DefaultAzureCredential + emulator), service...
azure-cosmos-py
Client library for Azure Cosmos DB NoSQL API — globally distributed, multi-model database.
azure-data-tables-py
NoSQL key-value store for structured data (Azure Storage Tables or Cosmos DB Table API).
adding-personhog-rpc
Guide for adding a new RPC to personhog-replica and personhog-router. Covers eligibility checks, proto definition, code generation for Python and Node.js clients, Rust implementation (storage trait, postgres queries, service handler, router wiring), and index compatibility validation. Use when adding a new gRPC…
alembic
Manage database migrations for SQLAlchemy with Alembic. Use when a user asks to version database schemas, autogenerate migration scripts from models, run or roll back migrations, set up async SQLAlchemy migrations, or handle schema changes safely in production.