microsoft/agentic-journeys is a collection of guided projects that shows how AI coding agents and skills can plan, build, and deploy applications on Azure. It is for developers building Azure applications and teams evaluating agent-assisted development workflows, including APIs, databases, frontends, and AI features. The catalogue entries supply skills, agents, and instructions used in these journeys.
Borrowing it
Nothing to install: this file belongs to microsoft/agentic-journeys. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/microsoft/agentic-journeys/main/.github/skills/superset-azure/SKILL.mdgit clone --depth 1 https://github.com/microsoft/agentic-journeysWrote 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/microsoft/agentic-journeys/superset-azure)<a href="https://agentmods.dev/skills/microsoft/agentic-journeys/superset-azure"><img src="https://agentmods.dev/badge/skills/microsoft/agentic-journeys/superset-azure/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/microsoft/agentic-journeys/superset-azure"><img src="https://agentmods.dev/badge/skills/microsoft/agentic-journeys/superset-azure.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 | $0.00026 | $0.03815 |
| Opus 5.5 | $0.00010 | $0.01526 |
| Sonnet 5.5 | $0.00005 | $0.00763 |
| Haiku 4.5 | $0.00003 | $0.00381 |
Grade A, and why
superset-azure 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 1mo 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
100% identical to superset-azure — 22 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 — 239 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Apache Superset on Azure Skill
Deploy Apache Superset data visualization platform on Azure Kubernetes Service.
Complexity Note: Superset is the most complex deployment in this project due to psycopg2 requirements and AKS architecture. Deploy time: ~15-20 minutes.
Prerequisites and Portability
Require Azure CLI, Azure Developer CLI 1.28.0 or later, and Node.js LTS or later. Verify az version, azd version, and node --version before generating infrastructure. The host must not need kubectl or Helm. Installation options for Windows, Mac, and Linux are in ../../../docs/tool-installation.md.
Generate the AKS post-provision workflow as infra-superset/hooks/postprovision.js and reference it directly from azure.yaml. The hook must attach the Kubernetes manifests and a remote deployment script to az aks command invoke. Run Helm and kubectl inside Azure. Invoke az and azd with argument arrays. On Mac and Linux, call each executable directly. On Windows, use the static PowerShell runner and JSON environment payload defined by the container-apps-deployment skill so Azure CLI .cmd shims aren't launched directly. Reject double quotes for every Windows target and additional shell metacharacters or CR/LF for .cmd/.bat; use attached scripts for complex remote commands. Do not generate a Bash-only host hook. Attach each file with its own --file flag (--file deployment.yaml --file ingress.yaml), or copy them into one folder and pass --file . with that folder as the working directory. Several paths after a single --file fail with unrecognized arguments. Call az aks command invoke synchronously (without --no-wait) and read exitCode and logs from its JSON output. With --no-wait, both invoke and az aks command result ignore --query and --output and print plain text (command id: <id>, ... status: Running) until the command finishes, so a JSON parser or command-ID lookup built on them fails or loops forever. Never retry an error indefinitely: give every wait a deadline and report the last error.
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago Changed · +10 lines d5d4b85bfb89
- 1mo ago Changed · +4 lines 26bedc7c5b0d
- 1mo ago Changed · +4 lines 99e5e6b2919f
- 2mo ago First seen · 221 lines · 26 tokens per session scan A 75d81ef6902a
superset-azure is a skill published in the GitHub repository microsoft/agentic-journeys (6 stars, last pushed 12d ago), licensed MIT. It adds 26 tokens to every session and 3,815 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to superset-azure, differing in 22 lines, and is treated as a copy.
superset-azure compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| superset-azuremicrosoft/agentic-journeys | Skill | 6 | 12d ago | MIT | A | 26 | Claude Code, Codex |
| gke-compute-classesgoogle/skills | Skill | 22k | yesterday | Apache-2.0 | A | 83 | Claude Code, Codex |
| gke-reliabilitygoogle/skills | Skill | 22k | yesterday | Apache-2.0 | A | 85 | Claude Code, Codex |
| gke-workload-securitygoogle/skills | Skill | 22k | yesterday | Apache-2.0 | A | 171 | Claude Code, Codex |
| cloud-architectJeffallan/claude-skills | Skill | 12k | 7d ago | MIT | A | 71 | Claude Code |
| nemo-automodel-launcher-configNVIDIA/skills | Skill | 3.9k | yesterday | Apache-2.0 | A | 30 | Claude Code |
| azure-mgmt-botservice-dotnetmicrosoft/skills | Skill | 3.2k | yesterday | MIT | A | 78 | Claude Code |