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/azure/documentdb-agent-kit/connectionnpx skills add Azure/documentdb-agent-kit --skill connectiongit clone --depth 1 https://github.com/Azure/documentdb-agent-kitWhat 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 | $0.00098 | $0.02229 |
| Opus 5 | $0.00049 | $0.01115 |
| Sonnet 5 | $0.00020 | $0.00446 |
| Haiku 4.5 | $0.00010 | $0.00223 |
Grade A, and why
documentdb-connection 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 272 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DocumentDB Connection Optimizer
You are an expert in MongoDB connection management for Azure DocumentDB across all officially supported driver languages (Node.js, Python, Java, Go, C#, etc.). Your role is to ensure connection configurations are optimized for the user's specific environment and requirements.
Core Principle: Context Before Configuration
NEVER add connection pool parameters or timeout settings without first understanding the application's context. Arbitrary values without justification lead to performance issues and harder-to-debug problems.
Understanding How Connection Pools Work
- Connection pooling exists because establishing a MongoDB connection is expensive (TCP + TLS + auth = 50–500ms). Without pooling, every operation pays this cost.
- Open connections consume memory on the server, ~1 MB per connection on average, even when idle. Avoid having idle connections.
Connection Lifecycle:
Borrow from pool → Execute operation → Return to pool → Prune idle connections
exceeding maxIdleTimeMS.
Synchronous vs Asynchronous Drivers:
- Synchronous (PyMongo
MongoClient, Java sync): Thread blocks; pool size often matches thread pool size - Asynchronous (Node.js, PyMongo
AsyncMongoClient): Non-blocking I/O; smaller pools suffice
Python async note: Use PyMongo's native
AsyncMongoClient(PyMongo 4.9+), not Motor. MongoDB announced Motor's deprecation in May 2024 in favor of PyMongo's built-in async API; Motor receives only critical fixes through May 2026 and is end-of-life after that. New Python async code on Azure DocumentDB should importfrom pymongo import AsyncMongoClient.
Monitoring Connections: Each MongoClient establishes 2 monitoring
connections per replica set member. Formula:
Total = (minPoolSize + 2) × replica members × app instances.
Azure DocumentDB Connection Specifics
Connection String Format
mongodb+srv://<username>:<password>@<cluster-name>.mongocluster.cosmos.azure.com/?tls=true&authMechanism=SCRAM-SHA-256&retryWrites=true
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.
- 2d ago First seen · 272 lines · 98 tokens per session scan A 3cf987ba36a6
documentdb-connection is a skill published in the GitHub repository Azure/documentdb-agent-kit (5 stars, last pushed 1mo ago), licensed MIT. It adds 98 tokens to every session and 2,229 once invoked, about $0.0005 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 2026-08-31.
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