Azure Servicebus Py
CheckedAutomates Azure Service Bus message sending/receiving using Python for streamlined cloud integration workflows.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add claudedjale/skillset --skill azure-servicebus-py -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
claudedjale
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned claudedjale/skillset at 154f146735.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 154f146735
- Scanned
- 5 files, 1,611 lines
About this skill
What it does
This skill enables interaction with Azure Service Bus queues and topics using Python. It allows agents to send messages, receive messages, and manage queue properties programmatically. This facilitates integration of AI agent workflows with existing Azure cloud infrastructure.
When to use it
- Automating message sending: Trigger actions in downstream systems based on events detected by the AI agent.
- Receiving notifications: Have the AI agent react to incoming messages from other services or applications hosted within Azure.
- Managing queue status: Monitor and adjust queue properties (e.g., dead-lettering) as part of an automated process.
- Integrating with existing Azure pipelines: Seamlessly connect your AI agent’s logic into broader Azure workflows.
Key capabilities
- Sending messages to Service Bus queues/topics
- Receiving messages from Service Bus queues/topics
- Management of queue properties (dead-lettering, etc.)
- Python integration
Example prompts
- "Send a message 'Order processed' to the 'order_queue'."
- "Receive and process the next three messages from the 'error_topic'."
- “Check the number of pending messages on the ‘data_queue’."
Tips & gotchas
- Requires appropriate Azure Service Bus connection string credentials. Ensure these are securely provided to the agent.