azure-cosmos-py

azure-cosmos-py is a skill for Claude Code from Ghosteken/agent-harness. It costs 31 tokens per session (1,650 once invoked), scanned A, a copy of azure-cosmos-py, MIT.

A Python client library for Azure Cosmos DB, a cloud database for document-like data that can be distributed across regions.

In plain words
What is it for?
Use it to create and manage databases and containers, and to create, read, update, delete, and query documents.
Why use it?
It removes the need to implement database requests and authentication from scratch in Python applications.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the agent-harness plugin — 173 skills, 11 commands, 12 agents shipped together

Good fit Use it to create and manage databases and containers, and to create, read, update, delete, and query documents.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ghosteken/agent-harness/azure-cosmos-py
Install

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.

Any agent
npx skills add Ghosteken/agent-harness --skill azure-cosmos-py
Clone the repo
git clone --depth 1 https://github.com/Ghosteken/agent-harness

Made for: Claude Code.

Or install agent-harness, the plugin that ships this one along with the rest of its 173 skills, 11 commands, 12 agents.

Wrote 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.

agentmods badge for azure-cosmos-py

README.md
[![agentmods](https://agentmods.dev/badge/skills/ghosteken/agent-harness/azure-cosmos-py/github.svg)](https://agentmods.dev/skills/ghosteken/agent-harness/azure-cosmos-py)
Your own site
<a href="https://agentmods.dev/skills/ghosteken/agent-harness/azure-cosmos-py"><img src="https://agentmods.dev/badge/skills/ghosteken/agent-harness/azure-cosmos-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.

agentmods 80×15 button for azure-cosmos-py

Your own site · 80×15
<a href="https://agentmods.dev/skills/ghosteken/agent-harness/azure-cosmos-py"><img src="https://agentmods.dev/badge/skills/ghosteken/agent-harness/azure-cosmos-py.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,650 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 83% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00031 $0.01650
Opus 5 $0.00015 $0.00825
Sonnet 5 $0.00006 $0.00330
Haiku 4.5 $0.00003 $0.00165

Measured 7d ago against content hash 4f8ab90ff722, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

azure-cosmos-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 7d 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.

Origin

This is a copy

83% identical to azure-cosmos-py — 11 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.

archive/skills-community/azure-cosmos-py/SKILL.md · 289 lines

How it starts

The opening of the file, as written. The whole thing — 289 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Azure Cosmos DB SDK for Python

Client library for Azure Cosmos DB NoSQL API — globally distributed, multi-model database.

Installation

pip install azure-cosmos azure-identity

Environment Variables

COSMOS_ENDPOINT=https://<account>.documents.azure.com:443/
COSMOS_DATABASE=mydb
COSMOS_CONTAINER=mycontainer

Authentication

from azure.identity import DefaultAzureCredential
from azure.cosmos import CosmosClient

credential = DefaultAzureCredential()
endpoint = "https://<account>.documents.azure.com:443/"

client = CosmosClient(url=endpoint, credential=credential)

Client Hierarchy

Client Purpose Get From
CosmosClient Account-level operations Direct instantiation
DatabaseProxy Database operations client.get_database_client()
ContainerProxy Container/item operations database.get_container_client()

Core Workflow

Setup Database and Container

# Get or create database
database = client.create_database_if_not_exists(id="mydb")

# Get or create container with partition key
container = database.create_container_if_not_exists(
    id="mycontainer",
    partition_key=PartitionKey(path="/category")
)

# Get existing
database = client.get_database_client("mydb")
container = database.get_container_client("mycontainer")

Create Item

item = {
    "id": "item-001",           # Required: unique within partition
    "category": "electronics",   # Partition key value
    "name": "Laptop",
    "price": 999.99,
    "tags": ["computer", "portable"]
}

created = container.create_item(body=item)
print(f"Created: {created['id']}")

Read Item

# Read requires id AND partition key
item = container.read_item(
    item="item-001",
    partition_key="electronics"
)
print(f"Name: {item['name']}")

Update Item (Replace)

item = container.read_item(item="item-001", partition_key="electronics")
item["price"] = 899.99
item["on_sale"] = True

updated = container.replace_item(item=item["id"], body=item)

Read the full file on GitHub · 289 lines

Changes

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.

  1. 7d ago First seen · 289 lines · 31 tokens per session scan A 4f8ab90ff722

Subscribe to this mod's changes

azure-cosmos-py is a skill published in the GitHub repository Ghosteken/agent-harness (2 stars, last pushed 6d ago), licensed MIT. It adds 31 tokens to every session and 1,650 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 83% identical to azure-cosmos-py, differing in 11 lines, and is treated as a copy.