cosmos-db SKILL.md skillA

cosmos-db from jnpiyush/agentx is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add jnpiyush/agentx/cosmos-db@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
jnpiyush/agentx
Path
.github/skills/data/cosmos-db/SKILL.md
Versions recorded
3
Latest version
v1.0.0, committed Sep 15, 2026
First version recorded
Apr 21, 2026
Size
12,746 bytes
Repository stars
19
License
Apache-2.0

Design, model, and operate Azure Cosmos DB workloads across Gremlin (Graph), NoSQL (SQL), and Mongo APIs. Use when modeling graph data with Gremlin, choosing partition keys, sizing RUs, configuring multi-region writes, securing with RBAC/managed identity, or implementing change feed and TTL. Strong focus on Gremlin Graph API patterns.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Azure Cosmos DB

> Globally distributed, multi-model database. This skill emphasizes the Gremlin (Graph) API and covers cross-API design rules: partitioning, request units, consistency, security, and change feed.

## When to Use

- Modeling highly connected data (social, fraud rings, recommendations, knowledge graphs, IT/asset topology) with the Gremlin API
- Designing partition keys and estimating RU/s for a new container
- Choosing a consistency level and multi-region write strategy
- Securing accounts with Entra ID (RBAC) and disabling key-based auth
- Implementing change feed processors, TTL-based purges, or analytical store (Synapse Link)
- Migrating between APIs (e.g., adjacency-list NoSQL graph -> Gremlin)

## Decision Tree

```
Pick the right Cosmos DB API
+-- Highly connected data, multi-hop traversals    -> Gremlin (Graph) API
+-- JSON documents, flexible schema, point reads   -> NoSQL (SQL) API
+-- Existing MongoDB driver / wire protocol         -> API for MongoDB (vCore or RU)
+-- Wide-column, time-series                       -> API for Cassandra
+-- Key-value with table semantics                  -> API for Table

Picked Gremlin? Then:
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add jnpiyush/agentx/cosmos-db@sha256:6fbdcb6bc9899c01

The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_7tr7hyoxnyvcl3uv.svg)](https://markdownregistry.com/a/art_7tr7hyoxnyvcl3uv)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, between Apr 21, 2026 and Sep 15, 2026, about one every 73 days.

versioncommittedcommitsizeaudit
v1.0.0 latest2026-09-15 f17c505 12,746 BA view · diff
v1.0.02026-04-23 df039b4 12,744 BA view · diff
v1.0.02026-04-21 b2dacbd 12,636 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (12746 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

jnpiyush/agentx · 19 stars · license Apache-2.0 · pushed 2026-11-04 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_7tr7hyoxnyvcl3uv
GET https://markdownregistry.com/api/v1/resolve?ref=jnpiyush/agentx/cosmos-db
GET https://markdownregistry.com/api/v1/blob/6fbdcb6bc9899c013880a8051dcae6d96ced5135f501a3d8ddacf8721e7c341a

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

More from jnpiyush/agentx

000-frontier-core Cursor rule
jnpiyush/agentx · .cursor/rules/000-frontier-core.mdc · Frontier canonical contracts and workspace context for Cursor.
git:20261012.38fb931 · audit A · 19 stars
ai Cursor rule
jnpiyush/agentx · .cursor/rules/ai.mdc · AI / agent / LLM workflow standards (Frontier)
git:20261010.87e53aa · audit A · 19 stars
csharp Cursor rule
jnpiyush/agentx · .cursor/rules/csharp.mdc · C# / .NET coding standards (Frontier)
git:20261010.87e53aa · audit A · 19 stars
python Cursor rule
jnpiyush/agentx · .cursor/rules/python.mdc · Python coding standards (Frontier)
git:20261010.87e53aa · audit A · 19 stars
react Cursor rule
jnpiyush/agentx · .cursor/rules/react.mdc · React / TSX frontend standards (Frontier)
git:20261010.87e53aa · audit A · 19 stars
typescript Cursor rule
jnpiyush/agentx · .cursor/rules/typescript.mdc · TypeScript / Node backend standards (Frontier)
git:20261010.87e53aa · audit A · 19 stars
agent-memory-systems SKILL.md skill
jnpiyush/agentx · .github/skills/ai-systems/agent-memory-systems/SKILL.md · Design agent memory beyond a single context window: short-term (working / scratchpad), long-term (episodic, semantic…
v1.0.0 · audit A · 19 stars
agent-observability SKILL.md skill
jnpiyush/agentx · .github/skills/ai-systems/agent-observability/SKILL.md · Instrument LLM agents with tracing, metrics, and evaluation telemetry. Use when adding OpenTelemetry GenAI semantic…
v1.0.0 · audit A · 19 stars
ai-agent-development SKILL.md skill
jnpiyush/agentx · .github/skills/ai-systems/ai-agent-development/SKILL.md · Build production-ready AI agents with Microsoft Foundry and Agent Framework. Use when creating AI agents, selecting LLM…
git:20261010.87e53aa · audit A · 19 stars
ai-evaluation SKILL.md skill
jnpiyush/agentx · .github/skills/ai-systems/ai-evaluation/SKILL.md · Use when evaluating AI quality, safety, completeness and cost with held-out tasks, executable graders, calibrated…
v1.1.0 · audit A · 19 stars
ai-safety-and-red-teaming SKILL.md skill
jnpiyush/agentx · .github/skills/ai-systems/ai-safety-and-red-teaming/SKILL.md · Defend LLM systems against prompt injection, jailbreaks, data exfiltration, and unsafe output. Covers input/output…
v1.0.0 · audit B · 19 stars
anthropic-claude SKILL.md skill
jnpiyush/agentx · .github/skills/ai-systems/anthropic-claude/SKILL.md · Implement production applications with Anthropic Claude models -- Messages API, tool use, prompt caching, adaptive…
v1.0.0 · audit A · 19 stars

Every file in jnpiyush/agentx

Browse by kind, by grade A, or by owner.