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/microsoftdocs/agent-skills/azure-documentdbnpx skills add MicrosoftDocs/Agent-Skills --skill azure-documentdbgit clone --depth 1 https://github.com/MicrosoftDocs/Agent-SkillsWrote 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/microsoftdocs/agent-skills/azure-documentdb)<a href="https://agentmods.dev/skills/microsoftdocs/agent-skills/azure-documentdb"><img src="https://agentmods.dev/badge/skills/microsoftdocs/agent-skills/azure-documentdb.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 | $0.00120 | $0.03612 |
| Opus 5 | $0.00060 | $0.01806 |
| Sonnet 5 | $0.00024 | $0.00722 |
| Haiku 4.5 | $0.00012 | $0.00361 |
Grade A, and why
azure-documentdb 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 yesterday.
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.
The source is not reproduced here
Licensed CC-BY-4.0
The repository is licensed CC-BY-4.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- yesterday First seen · 164 lines · 120 tokens per session scan A dc217b29c90e
azure-documentdb is a skill published in the GitHub repository MicrosoftDocs/Agent-Skills (733 stars, last pushed 4d ago), licensed CC-BY-4.0. It adds 120 tokens to every session and 3,612 once invoked, about $0.0006 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 2026-09-03.
Other skills, from other repositories
Azure Mgmt Mongodbatlas Dotnet
Manage MongoDB Atlas Organizations as Azure ARM resources using Azure.ResourceManager.MongoDBAtlas SDK. Use when creating, updating, listing, or deleting MongoDB Atlas organizations through Azure M...
byted-bytehouse-hybrid-search
ByteHouse 混合检索 Skill,支持全文检索 + 向量检索,结合 RRF 重排算法实现更精准的检索结果。当用户需要在ByteHouse数据库中进行全文检索 + 向量检索,结合 RRF 重排算法实现更精准的检索结果时,使用此Skill。.
byted-bytehouse-multimodal-search
ByteHouse 多模态检索 Skill,支持文本、图片、视频的向量化存储与多模态混合检索(向量检索、以文搜图、以图搜文、混合关键词 + 向量检索)。当用户提到 "ByteHouse 向量检索"、"多模态检索"、"混合检索"、"以文搜图"、"以图搜图"、"文搜视频"、"多模态知识库"、"HNSW / 向量索引" 等诉求时使用本 Skill。.
database-mongodb
Apply MongoDB data-modeling, indexing, and query rules from access patterns. Use when designing schemas, choosing embed vs reference, or tuning MongoDB query behavior.
vector-db-ops
Use when vector database operations — Pinecone, Weaviate, Qdrant, ChromaDB. Indexing, querying, filtering, and managing vector embeddings for RAG and similarity search. Use when working with vector db ops.
mongodb
Query and modify MongoDB collections via exec, using an operation + collection + JSON query syntax.