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Sentry Python Sdk

Official
getsentry·vlatest·backend

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-agent-skills --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-agent-skills at 9f54eb0219.

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

Commit
9f54eb0219
Manifest
skills/sentry-python-sdk/SKILL.md
Scanned
8 files, 1,723 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

The sentry-python-sdk skill enables AI agents to integrate Sentry's error tracking directly into Python applications, capturing runtime exceptions and performance issues in real-time. It allows developers to configure custom contexts, attach stack traces, and manage release versions programmatically through the agent interface.

When to use it

  • Debugging production crashes in Python-based microservices or web frameworks like Django or FastAPI.
  • Monitoring application health during automated testing pipelines to catch regressions early.
  • Correlating user-reported bugs with specific code commits or environment configurations.
  • Setting up real-time alerts for critical errors without manual log inspection.

Key capabilities

  • Initialize Sentry clients with custom DSNs and project keys via API calls.
  • Capture detailed exception events including full stack traces and variable states.
  • Manage release versions to track error rates across different deployments.
  • Configure sampling rules to reduce noise in high-volume logging scenarios.
  • Attach additional context like user IDs or request metadata to error reports.

Example prompts

"Initialize the Sentry client for a new Django project with my DSN and set up error tracking."
"Capture an exception event with custom tags indicating the failed API endpoint and user session ID."
"Update the release version in Sentry to match our latest deployment and verify error capture is active."

Tips & gotchas

Ensure your Python environment has the sentry-sdk package installed before invoking this skill. Avoid exposing sensitive data like passwords or tokens within captured error contexts unless explicitly sanitized.