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Sentry Python Sdk

Official
getsentry·vlatest·backend·MIT

Provides Python guidance and assistance for developing backend services and APIs.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add getsentry/sentry-for-ai --skill sentry-python-sdk -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

getsentry

Matched to the vendor's own GitHub organisation.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

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 getsentry/sentry-for-ai at f2792883d4.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
f2792883d4
Manifest
skills-legacy/sentry-python-sdk/SKILL.md
Scanned
8 files, 1,876 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill provides access to the Sentry Python SDK, enabling AI agents to integrate error tracking and performance monitoring into Python applications. It allows for capturing exceptions, logging events, and transmitting data to a Sentry project for analysis. The agent can then use this information to diagnose issues and improve application reliability.

When to use it

  • Debugging Production Issues: An agent needs to automatically capture and report errors occurring in a live Python web service.
  • Performance Monitoring: Track response times or resource usage of specific code blocks within a Python script.
  • Automated Error Reporting: Integrate error reporting into an automated testing pipeline for Python applications.
  • Incident Response: An agent needs to collect detailed context around a reported incident in a Python application, including stack traces and user information.

Key capabilities

  • Exception capture and reporting
  • Event logging with custom data
  • Integration with Sentry projects
  • Data transmission for analysis

Example prompts

  • "Capture the current exception and send it to my Sentry project."
  • "Log a performance event with duration 1.5 seconds, message 'Database query slow'."
  • "Report an error with user ID 'user123' and context data {'request_path': '/api/v1/data'}"

Tips & gotchas

  • Requires a valid Sentry project DSN (Data Source Name) to be configured.
  • Ensure the correct version of the Python SDK is installed within the agent’s environment.