Plans integration of Smello HTTP, log, and exception capture into Python projects.
npx skills add https://github.com/smelloscope/smello --skill smello-setup-smelloscope
Please help me install this Agent Skill. Skill: smello-setup Source: https://github.com/smelloscope/smello/tree/main/skills/smello-setup Command: npx skills add https://github.com/smelloscope/smello --skill smello-setup-smelloscope
High-intent search queries and answers about installing and using this skill.
Install the smello package and either call smello.init() before any HTTP imports or prefix your command with smello run. Captured requests, logs, and exceptions appear in a local dashboard at http://localhost:5110.
Add the SmelloMiddleware to your FastAPI app or Django MIDDLEWARE setting to capture incoming requests, and run with smello run or smello.init() for outgoing calls. Outgoing capture works with requests, httpx, aiohttp, grpc, and botocore.
No. smello.init() only activates when the SMELLO_URL environment variable is set; otherwise it is a safe no-op with no patching, threads, or side effects. This lets you keep the call in production code without conditional imports.
Yes. The smello run wrapper activates capture with zero source changes by prepending it to your existing command, such as smello run uvicorn app:app or smello run pytest tests/. Subprocess workers are instrumented automatically.
The setup plan covers pip with requirements.txt or pyproject.toml, uv, poetry, and pipenv. Smello is recommended as a regular dependency since it has zero dependencies and deactivates safely without SMELLO_URL.
PostHogConfigure an OTLP exporter to send structured logs to PostHog.
swcstudiospaceDebug Python code with pdb breakpoints, post-mortem inspection, and debugpy remote attach.
salvo-rsCapture request metrics, trace spans, and error contexts for Salvo routes.
lushly-devImplement OpenTelemetry logging, metrics, and tracing for production services.
