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 Ghosteken/agent-harness --skill azure-cosmos-pygit clone --depth 1 https://github.com/Ghosteken/agent-harnessWrote 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/ghosteken/agent-harness/azure-cosmos-py)<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.
<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>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 | $0.00031 | $0.01650 |
| Opus 5 | $0.00015 | $0.00825 |
| Sonnet 5 | $0.00006 | $0.00330 |
| Haiku 4.5 | $0.00003 | $0.00165 |
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.
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.
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)
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.
- 7d ago First seen · 289 lines · 31 tokens per session scan A 4f8ab90ff722
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.
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