otel
otel is an Observability & incident response skill for AI agents, published by posit-dev in the py-shiny repository on GitHub. Skillspace rates otel D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Use when adding observability to a Shiny for Python (py-shiny) app with OpenTelemetry - tracing reactive execution, profiling slow outputs or update cycles, monitoring sessions in production, exporting spans to a backend (Jaeger, Logfire, Honeycomb, Datadog, OTLP), suppressing telemetry for sensitive code, or when tempted to call trace.set_tracer_provider() inside app code to set up instrumentation.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 1,739
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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