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Fastapi Otel Common

Checked
devdenvino·vlatest·devops·MIT

This FastAPI OTel Common skill simplifies observability by automatically instrumenting your API with OTel tracing and metrics for easy monitoring & debugging.

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 devdenvino/fastapi_otel_common --skill fastapi-otel-common -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

devdenvino

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.

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 devdenvino/fastapi_otel_common at 3c7d890d2b.

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

Commit
3c7d890d2b
Manifest
.agent/skills/fastapi-otel-common/SKILL.md
Scanned
1 file, 62 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.
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About this skill

What it does

This skill provides common utilities and extensions for integrating OpenTelemetry (OTel) with FastAPI applications. It simplifies the process of instrumenting FastAPI endpoints, middleware, and dependencies for distributed tracing and metrics collection. The skill aims to reduce boilerplate code and improve observability in FastAPI-based backends.

When to use it

  • Observability is a priority: When building or maintaining a FastAPI application where you need detailed insights into performance and behavior.
  • Distributed Tracing: When your application interacts with other services and you want to trace requests across those boundaries.
  • Metrics Collection: To gather metrics about API endpoint response times, error rates, and resource utilization for monitoring purposes.
  • Standardized Instrumentation: When wanting a consistent approach to instrumenting various parts of your FastAPI application.

Key capabilities

  • FastAPI middleware integration with OpenTelemetry.
  • Automatic instrumentation of FastAPI endpoints.
  • Utility functions for creating spans and adding context.
  • Common extensions for OTel data propagation in FastAPI applications.

Example prompts

  • "Instrument my FastAPI app with OpenTelemetry."
  • "Add tracing to the /users endpoint using OTel."
  • "Show me how to propagate context across API calls."

Tips & gotchas

  • Requires a working FastAPI application and familiarity with OpenTelemetry concepts.
  • Ensure your environment is configured correctly for OpenTelemetry data collection (e.g., an exporter like Jaeger or Prometheus).